| Name | Total Lines | Lines of Code | Total Coverage | Code Coverage |
|---|---|---|---|---|
| spec/models/trip_spec.rb | 217 | 171 | 88.02%
|
90.06%
|
Code reported as executed by Ruby looks like this...and this: this line is also marked as covered.Lines considered as run by rcov, but not reported by Ruby, look like this,and this: these lines were inferred by rcov (using simple heuristics).Finally, here's a line marked as not executed.
1 require 'spec_helper' |
2 |
3 describe Trip do |
4 before(:each) do |
5 @current_user = mock_model(Person, {:id => 1}) |
6 @past_trip_attributes = { |
7 :organizer => @trip_organizer, |
8 :name => "Some Trip", |
9 :time => Time.now() - 1000, |
10 :address => "1234 Main St", |
11 :city => "Berkeley", |
12 :state => "CA" |
13 } |
14 @future_trip_attributes = { |
15 :organizer => @trip_organizer, |
16 :name => "Some Trip", |
17 :time => Time.now() + 1000, |
18 :address => "1234 Main St", |
19 :city => "Berkeley", |
20 :state => "CA" |
21 } |
22 @person_attributes = { |
23 :name => "Test User", |
24 :address => "1234 Main St", |
25 :city => "Testville", |
26 :state => "CA", |
27 :phone => "1234567890", |
28 :email =><EMAIL_ADDRESS>|
29 :password => "Test123!" |
30 } |
31 end |
32 |
33 describe "when validating a trip" do |
34 it "should not allow a trip with no organizer" do |
35 @no_organizer_attributes = { |
36 :time => Time.parse("Sun Oct 31 13:13 GMT 2010"), |
37 :address => "2650 Haste Street", |
38 :city => "Berkeley", |
39 :state => "CA" |
40 } |
41 |
42 @trip = Trip.new(@no_organizer_attributes) |
43 @trip.should_not be_valid |
44 end |
45 |
46 it "should not allow a trip with invalid organizer" do |
47 @invalid_organizer_attributes = { |
48 :organizer_id => "RAGE AGAINST THE SYSTEM", |
49 :time => Time.parse("Sun Oct 31 13:13 GMT 2010"), |
50 :address => "2650 Haste Street", |
51 :city => "Berkeley", |
52 :state => "CA" |
53 } |
54 |
55 @trip = Trip.new(@invalid_organizer_attributes) |
56 @trip.should_not be_valid |
57 end |
58 |
59 it "should not allow a trip with no name" do |
60 @no_name_attributes = { |
61 :organizer_id => @current_user.id, |
62 :time => Time.parse("Sun Oct 31 13:13 GMT 2010"), |
63 :address => "2650 Haste Street", |
64 :city => "Berkeley", |
65 :state => "CA" |
66 } |
67 |
68 @trip = Trip.new(@no_name_attributes) |
69 @trip.should_not be_valid |
70 end |
71 |
72 it "should not allow a trip with no time" do |
73 @no_time_attributes = { |
74 :organizer_id => @current_user.id, |
75 :name => "Epic Trip of Epicness", |
76 :address => "2650 Haste Street", |
77 :city => "Berkeley", |
78 :state => "CA" |
79 } |
80 |
81 @trip = Trip.new(@no_time_attributes) |
82 @trip.should_not be_valid |
83 end |
84 |
85 it "should not allow a trip with invalid time" do |
86 @invalid_time_attributes = { |
87 :organizer_id => @current_user.id, |
88 :name => "Epic Trip of Epicness", |
89 :time => "Invalid time!", |
90 :time => "This is not a time field sadly", |
91 :address => "2650 Haste Street", |
92 :city => "Berkeley", |
93 :state => "CA" |
94 } |
95 |
96 @trip = Trip.new(@invalid_time_attributes) |
97 @trip.should_not be_valid |
98 end |
99 |
100 it "should not allow a trip with no address" do |
101 @no_address_attributes = { |
102 :organizer_id => @current_user.id, |
103 :name => "Epic Trip of Epicness", |
104 :time => Time.parse("Sun Oct 31 13:13 GMT 2010"), |
105 :city => "Berkeley", |
106 :state => "CA" |
107 } |
108 |
109 @trip = Trip.new(@no_address_attributes) |
110 @trip.should_not be_valid |
111 end |
112 |
113 #### Implement this test for later milestone |
114 # it "should not allow a trip with invalid address" do |
115 # pending |
116 # end |
117 |
118 it "should not allow a trip with no city" do |
119 @no_address_attributes = { |
120 :organizer_id => @current_user.id, |
121 :name => "Epic Trip of Epicness", |
122 :time => Time.parse("Sun Oct 31 13:13 GMT 2010"), |
123 :address => "2650 Haste Street", |
124 :state => "CA" |
125 } |
126 |
127 @trip = Trip.new(@no_address_attributes) |
128 @trip.should_not be_valid |
129 end |
130 |
131 #### Implement this test for later milestone |
132 # it "should not allow a trip with invalid city" do |
133 # pending |
134 # end |
135 |
136 it "should not allow a trip with no state" do |
137 @no_state_attributes = { |
138 :organizer_id => @current_user.id, |
139 :name => "Epic Trip of Epicness", |
140 :time => Time.parse("Sun Oct 31 13:13 GMT 2010"), |
141 :address => "2650 Haste Street", |
142 :city => "Berkeley" |
143 } |
144 |
145 @trip = Trip.new(@no_state_attributes) |
146 @trip.should_not be_valid |
147 end |
148 |
149 #### Implement this test for later milestone |
150 # it "should not allow a trip with invalid state" do |
151 # pending |
152 # end |
153 |
154 end |
155 |
156 it "should create a new instance given valid attributes" do |
157 @valid_attributes = { |
158 :organizer_id => @current_user.id, |
159 :name => "Epic Trip of Epicness", |
160 :time => Time.parse("Sun Oct 31 13:13 GMT 2010"), |
161 :address => "2650 Haste Street", |
162 :city => "Berkeley", |
163 :state => "CA" |
164 } |
165 |
166 Trip.create(@valid_attributes).should be_true |
167 end |
168 |
169 describe "when checking upcoming trips for a person" do |
170 it "should return all upcoming trips that the person is a participant in" do |
171 @trip_organizer = Person.create!(@person_attributes.update({:name => "Trip Organizer", :email => "organizer@example.com"})) |
172 @participant = Person.create!(@person_attributes.update({:name => "Trip Participant", :email => "participant@example.com"})) |
173 |
174 @first_trip = Trip.create!(@future_trip_attributes.update({:organizer => @trip_organizer})) |
175 @second_trip = Trip.create!(@future_trip_attributes.update({:organizer => @trip_organizer})) |
176 |
177 @first_trip.participants.push @participant |
178 @second_trip.participants.push @participant |
179 |
180 @first_trip.stub!(:upcoming?).and_return true |
181 @second_trip.stub!(:upcoming?).and_return true |
182 |
183 @upcoming_trips = Trip.upcoming_for(@participant) |
184 @upcoming_trips.should include @first_trip |
185 @upcoming_trips.should include @second_trip |
186 end |
187 |
188 it "should not return trips that are not upcoming" do |
189 @participant = Person.create!(@person_attributes.update({:name => "Trip Participant", :email => "participant@example.com"})) |
190 @past_trip = Trip.create!(@past_trip_attributes) |
191 @past_trip.participants.push @participant |
192 |
193 @past_trip.stub!(:upcoming?).and_return false |
194 |
195 Trip.upcoming_for(@participant).should_not include @past_trip |
196 end |
197 |
198 it "should not return trips that the person is not participating in" do |
199 @participant = Person.create!(@person_attributes.update({:name => "Trip Participant", :email => "participant@example.com"})) |
200 @trip = Trip.create!(@future_trip_attributes) |
201 @trip.participants.stub!(:include?).with(@participant).and_return false |
202 |
203 Trip.upcoming_for(@participant).should_not include @trip |
204 end |
205 end |
206 |
207 describe "when determining if a trip is upcoming" do |
208 it "should be upcoming when the trip is in the future" do |
209 @trip = Trip.new(@future_trip_attributes) |
210 @trip.upcoming?.should be_true |
211 end |
212 it "should not be upcoming when the trip is in the past" do |
213 @trip = Trip.new(@past_trip_attributes) |
214 @trip.upcoming?.should be_false |
215 end |
216 end |
217 end |
Generated on 2010-11-02 07:37:01 -0700 with rcov 0.9.8


| Fig 5 |
Distribution of “suitable” VIWTP habitat according to a thre ... |
| Fig 3 |
Variable importance plot for predictor variables from the Ra ... |
| Fig 2 |
Predicted changes in mean summer temperature (a), mean summe ... |
| Fig 4 |
Predicted habitat suitability according to probability of pr ... |
| Fig 7 |
Number (a) and mean size (b) of suitable ptarmigan habitat p ... |
| Fig 9 |
Mean elevation (m) of suitable ptarmigan habitat patches und ... |
| Fig 6 |
Percentage of range change (100 x [range gain–range loss]/ba ... |
| Fig 1 |
White-tailed Ptarmigan presence locations on Vancouver Islan ... |
| Fig 8 |
Histograms of the range of suitable ptarmigan habitat patch ... |


https://github.com/manishbisht/To-Do-Application
https://github.com/manishbisht/Profile-Reader
https://github.com/manishbisht/C-Programmer


B.Sc. (Summa Cum Laude) Information Engineering
University of Padova (2015 - 2018)
M.Sc. (Summa Cum Laude) Computer Engineering
University of Padova (2018 - 2021)
M.Sc. Human-Centered Artificial Intelligence
Technical University of Denmark (2019 - 2021)
Ph.D. Artificial Intelligence
University of Amsterdam (2021 - present)
Teaching Assistant
Technical University of Denmark (2020 – 2021)


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Precinct Summary Report
EMS
11/6/2018
08:37:19
Warrick County, Indiana
2018 General Election
Election Date:
11/6/2018
52-Ohio 30
M- # OF Machine Ballots
196
A- # OF Absentee Ballots
66
PRECINCT STATUS:
REPORTED
0
P- # OF Provisional Ballots
262
PUBLIC COUNT:
419
REGISTERED VOTERS:
62.53%
- - - - - - - - - - - - - - - - - - VOTES - - - - - - - - - - - - - - - -
M
A
P
TOTAL
%
VOTES=
216
Public Question
VOTE FOR
1
116
40
0
156
72.22%
YES
47
13
0
60
27.78%
NO
VOTES=
262
United States Senator
VOTE FOR
1
130
33
0
163
62.21%
MIKE BRAUN (R)
61
32
0
93
35.50%
JOE DONNELLY (D)
5
1
0
6
2.29%
LUCY M. BRENTON (L)
0
0
0
0
0.00%
WRITE-IN
VOTES=
256
Secretary of State
VOTE FOR
1
135
33
0
168
65.63%
CONNIE LAWSON (R)
51
30
0
81
31.64%
JIM HARPER (D)
6
1
0
7
2.73%
MARK W. RUTHERFORD (L)
0
0
0
0
0.00%
WRITE-IN
VOTES=
256
Auditor of State
VOTE FOR
1
135
35
0
170
66.41%
TERA KLUTZ (R)
52
29
0
81
31.64%
JOSELYN WHITTICKER (D)
4
1
0
5
1.95%
JOHN SCHICK (L)
VOTES=
256
Treasurer of State
VOTE FOR
1
140
34
0
174
67.97%
KELLY MITCHELL (R)
51
31
0
82
32.03%
JOHN C. AGUILERA (D)
VOTES=
260
United States Rep District 8
VOTE FOR
1
142
34
0
176
67.69%
LARRY D. BUCSHON (R)
52
32
0
84
32.31%
WILLIAM TANOOS (D)
0
0
0
0
0.00%
WRITE-IN
VOTES=
258
State Rep District 75
VOTE FOR
1
143
34
0
177
68.60%
RON BACON (R)
50
31
0
81
31.40%
JOHN HURLEY (D)
VOTES=
204
Judge of Superior Court No. 1
VOTE FOR
1
162
42
0
204
100.00%
J. ZACH WINSETT (R)
0
0
0
0
0.00%
NO CANDIDATE FILED (D)
VOTES=
205
Judge of Superior Court No. 2
VOTE FOR
1
163
42
0
205
100.00%
AMY STEINKAMP MISKIMEN (R)
0
0
0
0
0.00%
NO CANDIDATE FILED (D)
VOTES=
204
Prosecuting Attorney 2nd Circuit
VOTE FOR
1
162
42
0
204
100.00%
MICHAEL J. PERRY (R)
0
0
0
0
0.00%
NO CANDIDATE FILED (D)
VOTES=
257
County Auditor
VOTE FOR
1
144
34
0
178
69.26%
DEBORAH "DEBBIE" STEVENS (R)
48
31
0
79
30.74%
CHELSEA BALLIS (D)
VOTES=
207
County Sheriff
VOTE FOR
1
162
45
0
207
100.00%
MICHAEL WILDER (R)
0
0
0
0
0.00%
NO CANDIDATE FILED (D)
VOTES=
204
County Assessor
VOTE FOR
1
162
42
0
204
100.00%
SARAH E. REDMAN (R)
0
0
0
0
0.00%
NO CANDIDATE FILED (D)
VOTES=
257
Co Commissioner District 2
VOTE FOR
1
137
37
0
174
67.70%
TERRY PHILLIPPE (R)
54
29
0
83
32.30%
MARK WARREN (D)
VOTES=
256
County Council District 2
VOTE FOR
1
141
34
0
175
68.36%
RICHARD A. REID (R)
50
31
0
81
31.64%
CHRISTOPHER WEYER (D)
VOTES=
255
Ohio Twp Trustee
VOTE FOR
1
148
38
0
186
72.94%
CHAD BENNETT (R)
42
27
0
69
27.06%
GRANT L. GERLING (D)
VOTES=
640
Ohio Twp Advisory Board
VOTE FOR
3
121
26
0
147
22.97%
NANCY GRIMES BENNETT (REP)
120
28
0
148
23.13%
DEBBIE REID (REP)
117
28
0
145
22.66%
MICHAEL WILSON (REP)
45
22
0
67
10.47%
JOHN C. BARNER (DEM)
46
25
0
71
11.09%
MARY COLE PLATZ (DEM)
41
21
0
62
9.69%
KRISTOPHER "KRIS" STALLINS (DEM)
VOTES=
703
School Board Member
VOTE FOR
4
54
14
0
68
9.67%
JORDAN M. AIGNER (NP)
63
16
0
79
11.24%
JEFFREY B. BAKER (NP)
83
18
0
101
14.37%
STEPHANIE GERHARDT (NP)
38
21
0
59
8.39%
TABITHA HEILMAN (NP)
42
11
0
53
7.54%
ELISSA JONES (NP)
38
10
0
48
6.83%
RICK DEAN MADDEN (NP)
60
18
0
78
11.10%
CANDACE S. NANCE (NP)
42
14
0
56
7.97%
"NANCY" ANNE J. PARKER (NP)
50
16
0
66
9.39%
THOMAS L. WELCH (NP)
80
15
0
95
13.51%
JANE WILHELMUS (NP)
VOTES=
200
Justice IN Supreme Ct Slaughter
VOTE FOR
1
124
36
0
160
80.00%
YES
32
8
0
40
20.00%
NO
VOTES=
201
Judge IN Ct Appeals D2 Altice
VOTE FOR
1
125
36
0
161
80.10%
YES
31
9
0
40
19.90%
NO
Straight Party Summary Information
Democratic Party
32
Libertarian Party
0
Republican Party
70
INWARG18
Page 1 of 1


| DOSE: T+ 0:00 |
115 mg |
oral |
AMT |
(pill / tablet) |
| T+ 1:10 |
60 mg |
oral |
AMT |
(pill / tablet) |
[Erowid Note: 175 mgs of AMT is considered an extremely high dose, see AMT Dose Chart]
Dose - 115mg orally - 5:40 PM
60mg orally - 6:50 PM
This text is a description of my last 'trip' using the substance AMT (IT-290).
I have had at least five expiriences prior to this one. All had been good with no serious visual hallucinations, but extreme giddiness and some mild synsethia. Previously the highest dose I had taken was 100mg even.
It was about five in the afternoon when I got back to our house, we had obtained a gram of AMT for two-hundred dollars. This is after it had been scheduled. I begin cutting up 50mg-75mg tablets for the free spirits that float around here. During this time I may or may not have injested some through my hands, so I suppose that's the variable but if I did I'd say it was about 10mg. When I finished this I injested my pill (115mg). I relaxed and smoked a a few bongs. I don't know about anyone else but marijuana settles our stomachs when we dose. A half an hour in I could feel things turning for the worse. So I left the group and went outside quickly just to vomit, I did and immediatly every muscle in my body tightened spastically.
For about forty-five minutes I layed closed eyed enjoying the patterns on the inside of my eyelids. After I began to feel better I went and injested a 60 mg tab (brilliant huh?). No more than five minutes later I got the best visual I've ever had. I looked down at my arm and it immediatly began to 'decompose'. The hairs began to grow out and my skin began turning a blackish/mucasy green/pink color slowly and bubbling. All the veins popped out and wiggled around crazily, it was quite some time before they got back in line. The funny thing about this hallucination is that as I stared at my arm, the visual did not go away but in fact go more complex the more I studied it.
By this time the area I was in was getting seriously over-crowded so I moved up into a room, and only let my 'couch buddy' in. I don't know why but I was very suspicous of everyone, and then at other times I look at them and feel alot of empathy. Physical effects included nasuea, shortness of breath, lack of motor skills, and the dreaded lockjaw/chatterbox. I did have alot of crazy visuals that night and the thinking process I went through was like going from point Z to point 9, very non-sequeintal but eventually getting where I needed to go. The rest I could describe is just psychedelic babble, but I can tell you the duration of the trip was about nine intense hours and four relaxing ones, however the next day was just one intense hangover but more like I just ran a marathon. Good thing I saved one more of those things.
And here is our theory of the actual use for AMT, I'm sure everybodies heard of
MK-ULTRA and the testing the government did with LSD as well as other hallucinagenics. We think AMT was one of the drugs developed for brainwashing during this projects. We find that in a setting where mostly everyone is tripping that when a phrase is said over and over again, especially in a joking matter that it becomes a sorda mantra. For example just for tiddiness someone suggested we keep our car keys by the microwave, immediantly if anyone was seen checking their pockets everyone would start yelling keys by the microwave over and over. Even now it has become like an unspoken law, if your keys are gone check by the microwave. Oh well that's just our theory, I'll be doing more research in this area.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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| Time | Activity |
|---|---|
| 09:00 - 09:15 | Welcoming Words |
| 09:15 - 09:45 | Invited Talk by Simon Jones: Onboard Evolution of Understandable Swarm Behaviours |
| 09:45 - 10:15 | Oral Presentation: Node Templates to improve Reusability and Modularity of Behavior Trees - E. Safronov. |
| 10:15 - 10:45 | Oral Presentation: Learning Behavior Trees From Demonstration - K. French et al. |
| 10:45 - 11:15 | Coffee break |
| 11:15 - 11:45 | Invited Talk by Vincent Berenz: Behavioral Reactivity: Using Reactive Programming to Create Behavior Trees |
| 11:45 - 12:15 | Invited Talk by Chris Paxton: Building Reactive Task Plans for Real-World Robot Applications |
| 12:15 - 12:45 | Invited Talk by Francesco Rovida: Application of Behavior trees to Industrial Robots Task Design |
| 12:45 - 14:15 | Lunch Break |
| 14:15 - 14:45 | Oral Presentation: A Modular Mission Management System for Micro Aerial Vehicles - M. Lan et al. |
| 14:45 - 15:15 | Oral Presentation: Real-Time Autonomous UAV Task Navigation using Behavior Tree - R. Soong et al. |
| 15:15 - 15:45 | Invited Talk by Enrique Coronado: Empowering End-Users with Behavior Trees, Development of Human-Robot Applications Performing "in the Wild" |
| 15:45 - 16:15 | Coffee Break |
| 16:15 - 16:45 | Invited Talk by Petter Ögren: Combining Reinforcement Learning with Behavior Trees |
| 16:45 - 18:00 | Open Discussion |


[t]Thank you[/t]
[t]Your reference is processed succesfully, thank you for your time. You will automaticly be redirected to the home-page.[/t]


Bayesian ML calculate explicit probabilities, and are the the most practical for certain type of learning problems.
Useful for understanding probabilities that do not explicitly manipulate probabilities. Bayesian analysis justifies key design choices in ML algorithms.
Alternative error function: cross entropy.
New instances classified by combining the predictions of multiple hypotheses, weighted by their probabilities.
Bayesian methods can provide a standard of optimal decision making against other practical methods.
Require the probabilities to be known in advance, else they are estimated based on background knowledge.
Family of simple probabilisitic classifiers based on applying Baye’s theorem with strong independence assumptions between the features.
Finding the most probable classification given the training data.
Randomly selecting hypothesis based on existing prob distribution, then classifying based on that hypothesis.
Each instance x is described by a conjugation of input attributes. Target function can take on any value from finite set V. Learner asked to predict target value/classification of new instance.
Predict target value taht will maximize the probability of classification of this instance.


Sixth Week of RC
Day 3: Here and There
March 27, 2019
I did a variety of things today at Recurse, which is a nice change from the days where I go deep on a persistent bug. (I'm looking at you, environment-specific bugs in OpenOversight.) Since I'm almost halfway through Recurse, I'm now starting to look ahead to job hunting. Today I started looking at interview prep strategy, and I also made major revisions to my resume.
On a more communal note, I organized a personal website jam for recursers to get together and work on our personal websites together. It was helpful to hear others' opinions on big-picture decisions, like font or color palette choices. I'm not planning on deploying my revisions until I have them a bit more nailed down, but I made major changes to my website's images and landing page. I also updated the color scheme so that it feels more current. We're meeting again next week, and I'm excited to keep working together.
Finally, I responded to feedback on a pull request that I recently submitted to OpenOversight. I'm glad to be working on new contributions now that I've vanquished the environment-specific bugs. Onward!


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:
Natural → < even | odd >


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Focused on learning every aspect of Web Development. Good at understanding most CS concepts. Quick learner and good at Google-ing for help. My Interests are aligned with who I work.
I am creative and hard working. A self learner and independent Developer. Willing to work to my full potential. I realize that some problems could be confusing or tough, so I am not afraid to seek help if need be. I have confidence in myself and can be trusted with any task with 100% satisfaction.
“The key to success is dedication to life-long learning.”
Email: prayushkale@gmail.com


Stoneridge (SRI) Presents At 2019 Stephens Nashville Investment Conference - Slideshow
by SA Transcripts, https://seekingalpha.com/author/sa-transcriptsThe following slide deck was published by Stoneridge, Inc. in conjunction with this event.
The following slide deck was published by Stoneridge, Inc. in conjunction with this event.


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For more background on CSS Image Effects, you can check out my blog series here, or watch my video from CSS Conf EU, which gives a baseline on blend modes and filters.
 What we're doing here is adding filters to the images as well as applying color and/or gradient overlays via various blending techniques to mimic these effects. This means less manual image processing and more fun filter effects on the web!
We are using pseudo-elements (i.e. :before
and :after
) to create the filter effects, so you must apply these filters on a containing element (i.e. not a content-block like
. The recommendation is to wrap your images in a

tag. More about the tag here.
This library uses CSS Filters and CSS Blend Modes. This features are supported in the following browsers:
For more information, check on Can I Use.
There are currently 3 ways to consume this library:
When using CSS classes, you can simply add the class with the filter name to the element containing your image.
The quickest way to do this is to link to our CDN in your
tag: <link rel="stylesheet" href="https://cssgram-cssgram.netdna-ssl.com/cssgram.min.css">
. Then, add a class to your figure element with the name of the filter you would like to use (shown below)
If you want to work locally, do the following:
<link rel="stylesheet" href="css/vendor/cssgram.min.css">
For example:

Alternatively, you can just download and link to any individual css file: <link rel="stylesheet" href="css/vendor/aden.min.css">
, if you're just using one of the styles.
class="_1977"
class="aden"
class="brooklyn"
class="clarendon"
class="earlybird"
class="gingham"
class="hudson"
class="inkwell"
class="lark"
class="lofi"
class="mayfair"
class="moon"
class="nashville"
class="perpetua"
class="reyes"
class="rise"
class="slumber"
class="toaster"
class="walden"
class="willow"
class="xpro2"
@extends
If you use custom naming in your CSS architecture, you can add the .scss files for the provided styles within your project and then @extend
the filter effects within your style definitions. If you think extends are stupid, I will fight you 😊.
scss/cssgram.scss
via an import statement in your Sass manifest file (i.e. main.scss
). It may look like: @import 'vendor/cssgram';
@extend %aden;
in your element.For example:

// Sass
.viz--beautiful {
@extend %aden;
}
Alternatively, you can just download and link any individual .scss file in your Sass manifest: scss/aden.scss
), if you're just using one of the styles.
@extend %_1977;
@extend %aden;
@extend %brooklyn;
@extend %clarendon;
@extend %earlybird;
@extend %gingham;
@extend %hudson;
@extend %inkwell;
@extend %lark;
@extend %lofi;
@extend %mayfair;
@extend %moon;
@extend %nashville;
@extend %perpetua;
@extend %reyes;
@extend %rise;
@extend %slumber;
@extend %toaster;
@extend %walden;
@extend %willow;
@extend %xpro2;
@mixins
Mixins allow for multiple filter arguments to be passed into your classes. This is useful for if you want to add filters in addition to the ones provided (i.e. add a blur).
scss/cssgram.scss
via an import statement in your Sass manifest file (i.e. main.scss
). It may look like: @import 'vendor/cssgram';
@include aden()
in your element.For example:

// Sass
.viz--beautiful {
@include aden()
}
As mentioned above, you can also add additional filters as arguments when using the library with mixins:
// Sass
.viz--beautiful {
@include @include aden(blur(2px) /*...*/);
}
@include _1977();
@include aden();
@include brooklyn();
@include clarendon();
@include earlybird();
@include gingham();
@include hudson();
@include inkwell();
@include lark();
@include lofi();
@include mayfair();
@include moon();
@include nashville();
@include perpetua();
@include reyes();
@include rise();
@include slumber();
@include toaster();
@include walden();
@include willow();
@include xpro2();


Lucy Spraggan and Georgina Gordon announce split after six years of 'joy, fun and true love'
The former X Factor star broke the news on Instagram saying that she and Georgina Gordon had gone their separate ways
by James Rodger, https://www.facebook.com/jamesrodgerjournalistLucy Spraggan has confirmed she has split from her wife.
The singer songwriter shot to fame on The X Factor and says they will continue 'as ultimate friends and dog Mums'.
The former X Factor star broke the news on Instagram saying that she and Georgina Gordon had gone their separate ways.
The split comes after "nearly 6 years of joy, fun and true love", according to Lucy.
In her statement, Lucy said: "It's with sadness to let you know that after nearly 6 years of joy, fun and true love Georgina and I have decided to part ways.
"We have shared the most amazing times and life together, and we are truly grateful for knowing love at its full capacity.
"We will continue on our paths as ultimate friends, and dog Mums, united by the bond and memories we will always have.
"We are eternally thankful for the support you have offered to us; in this time of hardship we we appreciate space and time to deal with the change."
The 28-year-old revealed earlier this year that she and Georgina had become foster parents.
Together they fostered 12 children and spoke about how they were also having fertility treatment.


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--- title: "Brand Colors" type: colors scss: /styles/base/_variables.scss usage: "Unique to brand" ---
$blue


Created by Olivier Dolbeau / @odolbeau
How Blablacar is born ?
How Blablacar works ?
Because it's sexy !
Quick & dirty !
Now let's move !
Plain old school PHP
From scratch
Use the same database than the V1
Launch in France
Launch in Spain
Launch in UK
Launch in Italy
million users use website every month
Average rpm during last month
Average response time during last month (in ms)
commits on Git (in the 3 last years)
lines of code...
France (with booking)
Spain
UK
Italy
And still need ! =)
To search trip ? SQL !
Imagine if YOU have to update the lib.trip.php file !
3770 lines
69 functions
926 lines... for 1 function !
if (...) {
if () {
for () {
if (){
}else{
}
}
if () {
for () {
if () ;
else
}
}
}
if(){
}
}
Let's do beautiful code !
PSR-2
Code reviews
Launch in Belgium
Launch in Netherlands
Launch in Portugal
Launch in Luxembourg
Launch in Poland
UK
Italy
Spain
Released in 1 week only
Launch in Germany
No more SQL !
No more SQL !
No more SQL !
No more tail on servers !
No more manual installation !
Between 5 and 15 deployments / day
New Relic for application monitoring
S3 for photo
EC2 (logstash, newsletters, ...)
30 slots for dev / preprod env
V2: 8 680
V3: 2 790
V2: 329
V3: 278
V2: 285 588
V3: 199 774
Inside sf2 !
(you're going to hear about it in the next slides)
Very hard to maintain
The front should not access directly to DB
(I really want do to that ! \o/)
Follow me: @odolbeau


Date of Compilation
Patient Characteristics
Last Name
First Name
Date of Birth
Age
Gender
Male
Female
Weight (kg)
Height (cm)
BMI
Death
Cardiovascular death
Date of death
Risk Factors
Previous Smoke
Current Smoke
Cigarettes per day
Drug Usage History
Alcohol Usage History
Dyslipidemia
0
I
IIa
IIb
III
IV
V
Diabetes mellitus
None
Type I
Type II
Arterial hypertension
Peripheral vascular disease
Familiarity CVD
Chronic kidney disease
Allergies and intolerances
MDC
Food allergies or intolerances
Latex
Medicament
Respiratory allergies
Other allergies
Infectious diseases
AIDS
Hepatitis A
Hepatitis B
Hepatitis C
Other infectious diseases
Blood Analysis
Labile INRs
DM insulin dependent
Renal Function
creatinine
Creatinine>1.8
Serum creatinine
Creatinine clearance
Peak creatinine
Discharge creatinine
Baseline creatinine
Renal Impairment
None
Normal
Moderate
Severe
Dialysis
eGFR Cockcroft Gault
Chronic kidney disease
Abnormal renal function
Neurological factors
Neurological dysfunction disease
Syncope
Syncope Date of event
Cerebral vascular event
TIA
TIA Date of event
Stroke
Stroke Date of event
Poor mobility
Procedural/surgical related factors
Type of surgery
Date of surgery
Urgency
Elective
Urgent
Emergency
Salvage
Bleeding
Critical Preoperative State
Weight of The Intervention
Isolated Cabg
Single Non Cabg
2 Procedures
3 Procedures
Cardiac Related Factors
Previous MI
Date MI
Recent MI
STEMI
NSTEMI
Post infarct septal rupture
Date STEMI
Date NSTEMI
Heart Failure
NYHA Class
0
I
II
III
IV
Stable angina
CCS Class
0
I
II
III
IV
Unstable Angina
Atrial Fibrillation
Coronary Artery Disease
Ef
Lv Dysfunction
PreAR Grade
0
Slight
Moderate
Severe
Eroa
PreMR Grade
0
Slight
Moderate
Severe
Vena Contracta
PreAS Grade
0
Slight
Moderate
Severe
Ava
Mean Gradient
Jet Velocity
PreMS Grade
0
Slight
Moderate
Severe
Valve Area
Last Follow Up
Previous Cardiac Surgery
Previous Cardiac Surgery
Previous Pci
Previous Cabg
Previous Pmk
Extracardiac Arteriopathy
Surgery On Thoracic Aorta
Active Endocarditis
Associated pathologies
Previous surgery
Oncological diseases
Active Oncological diseases
Previous Oncological diseases
Chemotherapy
Active chemotherapy
Previous chemotherapy
Radiotherapy
Active Radiotherapy
Previous Radiotherapy
Abnormal liver function
Pulmonary hypertension
Pulmonary hypertension grade
No
Normal
Moderate
Severe
PAPs
Chronic pulmonary disease
Score
Euroscore
Log-Euroscore
CHA2DS2-vasc Score
HAS-BLED Score
Social conditions
Family or social support
Need of assistance
Religion
Profession
Generate document


It was February 18, 1922, and Ernest Baker had settled in among the boulders in the Dragoon Mountains, hiding from the law after he had robbed a traveler just outside Tombstone. He figured that he could wait there for a few hours and then head out toward Bisbee and spend the $10 he had managed to steal. However, he hadn't counted on the tenacity of Texas John Slaughter.
Slaughter had been the sheriff of Cochise County many years earlier but had since retired to cattle ranching near Douglas. Even though he had not been the sheriff for some time, his legend was still discussed by petty thieves like Ernest. Slaughter was said to always bring in his man, alive or dead, and no one got away.
While Ernest was waiting there in the Dragoon Mountains, he spotted a lone rider headed slowly toward him. He watched that rider for more than an hour as he ambled across the desert, stopping from time-to-time to look at the tracks in the dirt. He was, though, unmistakably headed straight toward Ernest. As the rider got closer, Ernest could make out a distinctive white Van Dyke, a hat with a wide, flat brim, and a silken vest under a canvas long coat. He realized that it was Texas John Slaughter and wondered what the old man was doing out that way.
Slaughter finally got to the base of the Dragoon Mountains immediately under Ernest's location, where he stopped and dismounted. By now, there wasn't more than about 100 yards between them. Ernest didn't want any sort of gunfight with Slaughter, but he wasn't going to be taken back to Tombstone by that civilian, either.  Ernest wasn't sure what Slaughter was up to, but he knew that he was trapped and couldn't get away.
Ernest thought about his options for a long time. He considered shooting it out with Slaughter, but even as old as Slaughter was Ernest didn't figure that he had much hope of coming out ahead in that type of fight. He thought about trying to climb up over the Dragoons and escaping, but the cliff face behind him was more than 40 feet high and he knew that even if he could make it up those rocks somehow he would leave his horse behind and that would be his death in the desert. He thought about just giving up, but he didn't want to spend the next 10 years in the Yuma prison for a measly $10 crime. Ernest was truly perplexed as he thought through his options.
In the meantime, Slaughter simply sat under that tree, not moving, not drinking, not trying to talk to Ernest. In fact, at one point Ernest thought that Slaughter had died sitting under that tree, but then he swatted at a small bug flying around his head.
After a few hours, Ernest decided that he had been bested and decided to give himself up. He called down to Texas John and told him that he was coming down peaceful-like, to not shoot him. Slaughter stood up, stretched, and watched Ernest climb down out of those rocks. Ernest grabbed the reigns on his horse that was hidden behind a large boulder and led the horse out toward Slaughter. Ernest had one fleeting thought about swinging up onto his horse and making a run for it, but he figured that Slaughter's bullets could travel faster than his horse, so he quietly gave up on that notion.
Texas John said not a word, but simply pointed toward Tombstone about 20 miles off to the south. Ernest understood, mounted his horse, and began to ride toward Tombstone with Slaughter following close behind. Though no words were spoken, Ernest could hear Slaughter's horse plodding along on the desert floor and occasionally nickering softly behind him.
Several times, Ernest tried to get a conversation started with Slaughter just to pass the time, but Slaughter had a reputation for being a man of few words and he didn't seem to be in the mood to chat with Ernest.
"I was surprised to see you out this way. I thought you had retired or something." Ernest paused, but Slaughter did not respond. "I mean, you quit law-n' more than ten years ago, didn't you?" No respose. "I just don't understand why a man would go back to a dangerous job like that when he should be takin' it easy, that's all I'm sayin'." Still, Slaughter said nothing.
Ernest decided to try a different approach and said, "I'm right sorry 'bout robbing that man. I only got $10 from 'im. It weren't hardly worth my trouble. In fact, I still got all that money, and a little more, beside. What if'n I give all of that to you so's you can give it back to that poor man. Would that make this better, you reckon?" To his credit, Ernest wasn't trying to bribe Slaughter, he was smart enough to know that wouldn't work; he just hoped that making restitution would somehow make the crime go away. "Well, dang-it, Slaughter, you just goin' to sit there all the way in to Tombstone?" When the only answer was the soft whinny of a horse, Ernest decided to just give up trying to get Texas John to talk.
I suppose that the next thing Ernest done, though, could have made Texas John just shoot him on the spot -- he started singing. Unfortunately, he wasn't very good; in fact, he couldn't carry a tune in a gunny sack, but still he sung -- loud. He was making up the tune and the words as he went along. At first he sung about things like the weather and the stars at night, then he got onto dance hall girls and poker games; finally, he got to singing about his own family. I'm not sure if he was hoping that Slaughter would tell him to stop just so he could hear another man's voice, but if that was his plan it didn't work. After about an hour of all that noise coming from Ernest Baker, he fell silent and spent the rest of the journey listing to the sound of the wind and the quiet plodding of the horses' hooves on the desert floor.
When they got just a few miles from Tombstone, Sheriff Hood rode out to meet them. As he approached, Ernest said "I didn't know that Texas John Slaughter was still doing work for you, but he found me." As he said that, Ernest pumped his thumb over his shoulder to point at Slaughter. The sheriff gave him a long, tired look and replied, "I don't know what you are talking about, Texas John Slaughter died in his bed in Douglas two days ago." Ernest's jaw dropped and his eyes opened wide. He turned around in his saddle and looked behind himself to a flat desert floor uninterrupted by anything taller than a prickly pear cactus and occasional mesquite tree, all the way back to the Dragoon mountains nearly 20 miles distant.


Node.js Versions
Renovate can upgrade the Node.js runtime used by your project. This way you're using the latest bug fixes, performance improvements, security mitigations, etc.
File Support
Renovate can manage the Node.js version in the following files:
- The
engines
field inpackage.json
- The
volta
field inpackage.json
- The
.nvmrc
file for the Node Version Manager - The
node_js
field in.travis.yml
How It Works
Node.js renovation in package.json > engines
and in .nvmrc
is enabled by default, if your existing version is pinned.
To enable .travis.yml
renovation, you must:
- Enable Travis renovation explicitly by setting the following Renovate configuration:
"travis": { "enabled": true }
- Optionally, configure a support policy (As documented below)
When Renovate processes your project's repository it will look for the files listed above and submit a single pull request that upgrades all Node.js versions simultaneously.
Configuring Support Policy
Renovate supports a supportPolicy
option that can be passed the following values and associated versions (current as of June 2021):
Default: lts
| supportPolicy | versions | description |
|---|---|---|
| all | 12, 14, 16 | All releases that have not passed their end date |
| lts | 12, 14 | All releases classified as LTS, including in maintenance |
| active | 14, 16 | All releases not in maintenance |
| lts_active | 14 | All releases both LTS and active |
| lts_latest | 14 | The latest LTS release |
| current | 16 | The latest release from "all" |
The version numbers associated with each support policy will be updated as new versions of Node.js are released, moved to LTS or maintenance, etc.
For example, to instruct Renovate to upgrade your project to the latest Long-term Support release, you can use the following configuration:
"supportPolicy": ["lts_latest"]
We recommend that you define this support policy inside the node
configuration object.
This way, it is applied to all Node.js-related files.
For additional language support see the supportPolicy
documentation.
Configuring which version of npm Renovate uses
When binarySource=docker
, such as in the hosted WhiteSource Renovate App, Renovate will choose and install an npm
version dynamically.
To control which version or constraint is installed, you should use the engines.npm
property in your package.json
file.
Renovate bot will then use that version constraint for npm when it creates a pull request.
For example, if you want to use at least npm 6.14.11
and also allow newer versions of npm in the 6.x
range, you would put this in your package.json
file:
{
"engines": {
"npm": "^6.14.11"
}
}


8 bits unsigned 8 bits signed 16 bits unsigned 16 bits signed 32 bits unsigned 32 bits signed 32 bits float 64 bits float
Index Hexadecimal Octal Binary
Display as little endian Stream length 1 byte 2 bytes 4 bytes
Brought to you by nfroidure, follow me on Twitter. Fork the project on GitHub.


Home > Visual
Gallery Crawl
5P Oct 4, 2013 / Old ARC
$10
Click Here for Ticket Sales
The trolley crawl boards at the Old Academy of Richmond Academy, then you're off to the Arts and Heritage Center Gallery featuring works by The Clay Artists of the Southeast.
Next up is the David Maisel Exhibit at the Mary S. Byrd Gallery where you'll view his body of work, History's Shadow.
You'll then travel to the Morris Eminent Scholar Exhibition at the Rex Properties Gallery at the JB Whites Building, featuring works by Morris Eminent Scholars: Phillip Morsberger, Tom Nakashima, and William Willis.
The crawl ends back at the Old Academy of Richmond Academy, where you'll view the Klacsmann Gallery featuring works by Nicole Arnold, Matthew Buzzell, Kath Girdler Engler, Derek Larson, Matt Mitros, T. Hardy Morris, Baker Overstreet, Jeff Schmuki + Wendy DesChene, Hollis Brown Thornton, Chad Tolley, and Ehren Tool.
There will be 2 crawls, 5P and 6:15P, each lasting around an hour and fifteen minutes.
Klacsmann Gallery
10A-8P Oct 2 - 6, 2013 / Old ARC
The Gallery will not open until 3P on October 5, due to the Color Run.
FREE
The centerpiece of the Westobou art experience, this collection of artists, curated by Raoul Pacheco, includes work by Augusta artists:
+ Nicole Arnold: surreal oil painter
+ Matthew Buzzell: award-winning filmmaker
+ Kath Girdler Engler: sculptor of paper pulp and found objects
+ Derek Larson: new media installation artist
+ Matt Mitros: ceramic artist
+ T. Hardy Morris: musician/filmmaker
+ Baker Overstreet: abstract painter
+ Jeff Schmuki + Wendy DesChene: installation artists [PlantBot Traveling Art Lab /
3-5P / Oct 6, 2013 / Old ARC / FREE EVENT]
+ Hollis Brown Thornton: mixed media artist
+ Chad Tolley: illustrator and printmaker
+ Ehren Tool: ceramic artist [Conversation / 11A / Oct 3, 2013 / Old ARC / FREE EVENT]
Reception
5-8P / Oct 4, 2013 / Old ARC / FREE EVENT


For supported banks, you can have Finance Tracker automatically check for new transactions and import them by logging into your bank account and exporting them for you. To use this feature, your bank login details have to be transmitted to the Finance Tracker server. However, they are never stored outside of your locally encrypted database.


There's an old story about the person who wished his computer were as easy to use as his telephone. That wish has come true, since I no longer know how to use my telephone. -- Bjarne Stroustrup [ source]


THE SAINT A film review by Joshua McAdams Copyright 1997 Joshua McAdams
Boy, what can you say about a movie like the Saint? Did I say movie? I apologize. I should have referred to this Val Kilmer vehicle as an experience --- an experience that I will now attempt to relate to you. It was four in the afternoon on a rainy Sunday when I pulled into the parking lot at the Carmike Six Theater. As local movie houses go the Carmike is easily the best in Charlottesville; the screens are the right ratio, the sound is DTS, and the place is generally showing big budget films with mass appeal. Case in point, last week Carmike was screening four different Harrison Ford movies in five theaters. Talk about over-exposure. The first thing I noticed was the line that generated from the box office and spilled into the parking lot to block traffic. Strange, I thought, there must be a debut this week other than "The Saint." Quickly I scanned the posters hanging outside: it was definitely too late for Star Wars mania and word of mouth had pretty much killed "The Devil's Own." It turned out that two other features, both low concept romantic comedies, were going heads-up with Val this very weekend. Still, even taking into account the weather and the sizable student population, I got the errie feeling that these carbon drones were really waiting in line to see a cheap Mission Impossible rip-off. Now don't get me wrong, I thought Mission Impossible was an James Bond rip-off, but at least it was expensive. I'd seen the trailers for "The Saint" --- lots of Kilmer in disguises, Elizabeth Shue acting vulnerable, and machine guns in every third shot. Enough of the plotline had trickled out to let everyone know that communism may be dead but those crazy Russians were up to something again. As contrived as it was, Mission Impossible killed Emilio Estevez in the first reel and then dusted Voight in the climax! The most one could look forward to with "The Saint" is allot gunplay and generic villains delivering cornball lines. Yet here I was locking my car door and strolling toward the theater. I walked quickly up the sidesteps and examined the lobby. The "Help Wanted" sign had been taken down so I had to assume the theater was no longer under-staffed. No matter. Two guys, both high school age, were grabbing cash and handing out tickets like trained seals at the box office. The concession stand was absolutely buried under five different lines of hungry movie-goers eager to pay the 300% markup for artery clogging popcorn. Quickly I counted out anyone at these two stations, they were too busy to notice me and hadn't batted an eye before when I did my thing. The assistant manager was a different story however. Standing in his red-vested monkey suit at the portal to the screens, he was mechanically ripping tickets and giving directions to the public. The Jedi Mind Trick had never worked on him, he took it way too personal to be influenced with any slick talking. The "backdoors", two wide corridors for exiting patrons that can be accessed from the front of the lobby, looked like the best bet. However, they were not without risk. If spotted by Monkey Boy assistant manager there would probably be a confrontation.  Monkey Boy was a different story, he had actually thwarted me and comrade just the day before at a four oclock showing of Star Wars. I opened the door and walked inside, finding a place at the back of a food line. Slowly drifted sideways, pretending to examine the Titanic hanging poster, and tried to scope the manager. I hadn't seen him here in weeks but I knew that he would be on-premises for a triple debut weekend. But where? There he was, coming out of the "Employees Only" door with a roll of greenbacks in his hand, looking flustered, annoyed, and constipated all at once. The day was going bad for him, he was probably scheduled off but had to show up when the place was swamped by unexpected interest in "The Saint." As he crossed to the ticket booth I made my move, sliding behind a tall potted plant just as Monkey Boy looked down to rip tickets and proceeding down the one way open corridor. The exposure time was less than three seconds but the familiar juice was still there - a hot rush that generated in my upper spine and flowed through my head until it began to resonate behind my eyes. I made a b-line for the theater where "The Saint" was playing but DAMN! ---there was a chick taking tickets right in front of the double doors.  She didn't even acknowledge me. Once inside the viewing area my prediction was realize; the place was packed. I stood against the wall for a few minutes then sat it the last seat on the left in the last row. A few minutes after the designated start time the lights dimmed and the projector whirred to life. The movie began erratically in flashback. The weakest title card I have ever seen in my life tells us its: The Far East - Yesterday. Cool idea about the ambivalence of the timeline but the delivery is fundamental screwed by a generic block font that completely clashes with spirit of a spy adventure film. It turns out that The Saint is was once a nameless orphan with a gift for picking locks. He wreaks havoc at the orphanage and escapes one night but not before: (A) naming himself Simon Templar and (B)watching his first love dashed to pieces on a hardwood floor when she is knocked off a balcony by a couple of German Shepherds lead by the Evil Priest! Attack dogs hunting down away children? In a Catholic orphanage? It a little extreme even for the Far East. They couldnt expect us to buy that, could they? Yes, they actually did feel you would buy it because after that "The Saint" ventures into fields of ludicrous absurdity hitherto untrodden. Certain things can be bad but tragically comic at the same time. See Daylight and recently released Devils Own for examples of such camp. The Saint is so screwed up that you have to dig deep in the cluttered rough to find even the most tarnished chunk of iron sulfide. Needless to say the plot is Hollywood fools gold on a level of such utter banality that a I could spend hours peering into, and shining the light of day through, each and every plothole. The second title card fades in the words :Moscow - Tomorrow. Then some Russian oil magnate is shown goading his rebellious countrymen by mimicking Mark Anthony in his famous Caesar funeral dirge: "Friends, Countrymen, Russians!" The crowd assembled cheers and the screenwriters figured the crowd in the theater would shiver at the thought of yet more anarchist Russians controlling the power of nuclear life or death over us. Hell, Muscovites cant even feed themselves, so I aint worried about them too much; but i guess it's better than Islamic terrorists. Enter the orphan who has fashioned himself into a high-end thief who can scale walls, crack safes, and deliver cheesy one-liners with the best of them. Mr. Templar steals a important "microchip" from the Bad Russian Industrialist but not before creating a "jealous son" subplot that is never explore during the rest of the movie. Bad Russian Industrialist then hires The Saint to steal a new formula for creating free and endless energy. Enter Elizabeth Shue as, get this, a scientist who invents said workable cold fusion theory! In here first scene she stands, complete with schoolgirl skirt and bobby socks, and answers some questions posed by her colleagues on her invention. A vacuous actor playing a equally vacuous-looking rocket scientist queries "Could you explain the process of cold fusion?" All he left out was the part about "for the audience." Immediately Simon falls for the hot bookworm and has a moral dilemma when he steals the formula from his new found love. Should he turn the plans over to the Bad Russian Industrialist? Should he give it back? Before any of these questions can be explored the story once again degenerates into endless shots of Russian thugs running after Kilmer, Russian thugs shooting machine guns at Kilmer, or Russian thugs chasing Kilmer in a Range Rover. Did I say this movie was beyond bad? It gets worse. Example: the hip-hop, one-two-one soundtrack that makes you feel like you are attending some under 18 rave sponsored by Diet Pepsi. I must have checked my watch on at least a dozen different occasions. When the plot dragged to the point where it became painful I sat in on Jedi for a few minutes to try and remember what good, creative filmmaking was all about. As much as I'd like to have stayed and watch the Emperor try to turn Luke to the Dark Side of the Force I had to go back. After all, I had burn too many synapses plotting my ingress strategy to not see the majority of the flick I came to judge.
Back in cinematic hell I began to notice that the special devices, pre-requisites in an spy caper, were exceptional low budget and impractical. Though few of the gadgets worked miracles via blinking lights alone, apparently Templar still had the functionally inaccurate Macintosh laptop issued by the IM Force. Unfortunately old Simon should have considered what a better move it would have been to back up Ethan Hunt instead of going solo. Sure the money is better playing the field but the chance of a sequel are completely ruined. On a closing note I would like to say that Val Kilmer is pretty much my ideal Hollywood actor. I would cast him for one of my leads any day. Hes been Jim Morrison and Deniros sidekick (the only one to escape in "Heat"). Hes played an FBI agent and Batman with equal measures of aloof coolness. However in "The Saint" I fear that the idea of headlining has gone to his head; he executes with the carelessness and egotistical grandstanding of a bullfighter. Maybe it was the director or maybe the lines he was given affected the performance but I really expected more from the Iceman. Elizabeth Shue is a wasted completely and the Russian heavies were more comical than anything. All togather a bad, bad movie.
Rating: Kilmer arches his eyebrows and Shue bats her lashes. People fire machine guns endlessly with impunity. Fifty thousand dollar automobiles explode. Is it action or romance? Do you care?
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title: Learn Machine Learning
description: Resources to educate developers on the realms of machine learning.
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Table of Contents
Machine Learning itself is an umbrella that covers a vast number of uses and applications, just like Computer Science. It's is a topic that has been gaining a lot of interest for the past decade. The stigma is that it is often associated with page-long computations. Thankfully, that's mostly been eliminated with a bunch of frameworks like scikit-learn. However, as my friend Kabir, likes to say: "I think it is just as important to know what exactly goes on under the hood."
Defined by Arthur Samuel in 1959, Machine Learning gives "computers the ability to learn without being explicitly programmed." In other words, the computer teaches itself. How?, you may ask. Well, Machine Learning, a subset of AI, uses algorithms and specific models to analyze and train data. This includes the Neural Network, a system that takes several inputs, and produces a single output. Based on the fundamental network of the human brain, the interconnected web of neurons transmitting patterns of electrical signals are what Artifical Neural Networks attempt to mimic.
A computer program is said to learn from experience E with respect to some task T and some performance measure P if its performance on T, as measured by P, improves with experience E.
―Tom Mitchell, Carnegie Mellon University
In the quote above, Machine Learning is described at the fundamental level. Say you have a task (T) such as predicting stock prices. In this case, experience (E) is your data set, and the performance (P) is your accuracy of which the algorithm learns from.
The thing is, machines aren't human. Sure, a computer can calculate the square root of 603,729, but can it discriminate between a fish and a bird? For these tasks, machine learning is essential.
Neural Networks, at the core, are algorithms that are adaptable, which therefore allow it to learn. Most of the time, this is done by adjusting the weights. If the network produces a desired output, the weights are not adjusted. However, if the network produces an undesired, or "poor" output, the system will adapt and alter the weights in order to imrpove results.
There are three types of learning:
The output of a dataset (label) rely on the input (features) and the model that is being used. In fact, the more features you have, the better. This is because you give the model more data to work with, which leads to more accurate labels. Here are some examples of machine learning models:
Now that we've got a brief overview. Let's head over and build our first Neural Network!
Build a Neural Network!


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