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Total Size

13.3 GB

Total Files

955

Last Seen

2025-07-14 02:19

Hash

A41C75DB3FBD6EC60F37561A1E235852FC57179E

/!Web Applications/XI. Javascript/

CS142L15P3.flv

165.0 MB

CS142L15P2.flv

138.4 MB

CS142L16P1.flv

118.5 MB

CS142L14P3.flv

116.4 MB

CS142L16P2.flv

110.8 MB

CS142L15P1.flv

78.5 MB

javascript.ppt

160.3 KB

/.../XIII. Security. Code Injection/

CS142L24P4.flv

128.1 MB

CS142L25P1.flv

70.7 MB

CS142L25P2.flv

61.2 MB

secInjection.ppt

221.2 KB

/!Natural Language Processing/

Natural_Language_Processing_I_Video_Lecture_IIT_Kharagpur.flv

127.4 MB

Natural_Language_Processing2.flv

71.1 MB

!415812_3F37F_daniel_jurafsky_james_h_martin_speech_and_language_processin.djvu

28.9 MB

516979_51018_olive_joseph_christianson_caitlin_mccary_john_handbook_of_na.pdf

20.9 MB

Natural_Language_Processing.flv

10.0 MB

665172_BB79D_indurkhya_n_damerau_f_j_handbook_of_natural_language_process.pdf

7.1 MB

irbookprint.pdf

6.8 MB

561612_D0753_li_hang_learning_to_rank_for_information_retrieval_and_natur.pdf

3.6 MB

NLP.pdf

3.2 MB

Natural Language Processing.png

1.0 MB

Stanford School of Engineering - Stanford Engineering Everywhere.png

396.0 KB

List of natural language processing toolkits - Wikipedia, the free encyclopedia.png

127.3 KB

/.../XV. Large-Scale Applications/

CS142L26P2.flv

126.0 MB

CS142L26P3.flv

115.8 MB

CS142L27P1.flv

114.5 MB

CS142L26P1.flv

73.4 MB

scale.ppt

362.5 KB

/!Web Applications/IX. AJAX/

CS142L20P2.flv

123.9 MB

CS142L20P4.flv

102.7 MB

CS142L20P3.flv

46.5 MB

ajax.ppt

159.7 KB

/.../VI. Introduction to SQL/

CS142L8P3.flv

122.6 MB

CS142L9P2.flv

109.1 MB

CS142L9P3.flv

100.0 MB

CS142L9P1.flv

33.6 MB

sql.ppt

1.1 MB

/.../XVII. Deploying Web Applications/

CS142L28P4.flv

119.9 MB

CS142L28P2.flv

118.1 MB

CS142L28P3.flv

110.9 MB

CS142L28P1.flv

105.9 MB

/!Web Applications/V. Rails Introduction/

CS142L8P1.flv

116.4 MB

CS142L7P3.flv

103.9 MB

CS142L7P4.flv

78.8 MB

CS142L7P5.flv

76.2 MB

CS142L8P2.flv

60.7 MB

CS142L7P1.flv

48.5 MB

CS142L7P2.flv

44.3 MB

railsIntro.ppt

219.1 KB

/!Web Applications/XIII. Events/

CS142L20P1.flv

114.8 MB

CS142L19P2.flv

113.0 MB

CS142L18P1.flv

112.7 MB

CS142L19P3.flv

106.5 MB

CS142L19P1.flv

87.3 MB

event.ppt

160.8 KB

/.../IV. The Ruby Language/

CS142L6P4.flv

114.5 MB

CS142L5P3.flv

92.2 MB

CS142L4P4.flv

79.2 MB

CS142L4P5.flv

70.4 MB

CS142L5P2.flv

64.5 MB

CS142L5P1.flv

58.6 MB

CS142L6P2.flv

57.4 MB

CS142L6P1.flv

52.0 MB

CS142L6P3.flv

51.7 MB

ruby.ppt

172.5 KB

/.../XI. Security. Session Attacks/

CS142L23P2.flv

113.3 MB

CS142L22P4.flv

76.5 MB

CS142L23P1.flv

73.8 MB

CS142L22P5.flv

58.4 MB

/.../II. HTML and CSS/

CS142L2P2-new.flv

112.0 MB

CS142L2P3-new.flv

111.9 MB

CS142L2P1-new.flv

110.8 MB

CS142L3P1-new.flv

103.6 MB

CS142L3P2-new.flv

101.0 MB

html.ppt

156.2 KB

css.ppt

50.2 KB

/.../IX. Cookies and Sessions/

CS142L12P1.flv

107.0 MB

CS142L12P2.flv

89.4 MB

/!Web Applications/X. Forms/

CS142L13P1.flv

105.5 MB

CS142L14P1.flv

96.3 MB

CS142L14P2.flv

89.2 MB

CS142L13P3.flv

88.9 MB

CS142L12P3.flv

82.9 MB

CS142L13P2.flv

76.3 MB

form.ppt

165.9 KB

/.../VIII. HTTP and HTTPS/

CS142L11P2.flv

105.3 MB

CS142L11P3.flv

58.3 MB

https.ppt

54.8 KB

/.../VII. Active Record/

CS142L11P1.flv

104.6 MB

CS142L10P2.flv

85.3 MB

CS142L10P3.flv

84.3 MB

CS142L10P1.flv

66.0 MB

activeRecord.ppt

164.4 KB

/.../XVIII. Course Wrap-Up/

CS142L29P1.flv

103.7 MB

CS142L29P2.flv

82.3 MB

CS142L29P3.flv

80.4 MB

CS142L29P4.flv

69.5 MB

/.../XII. The Document Object Model (DOM)/

CS142L17P3.flv

101.8 MB

CS142L17P2.flv

98.1 MB

CS142L17P1.flv

59.3 MB

CS142L16P3.flv

46.7 MB

dom.ppt

170.5 KB

/.../III. URLs and Links/

CS142L4P2.flv

98.3 MB

CS142L4P1.flv

68.0 MB

CS142L4P3.flv

36.1 MB

url.ppt

44.5 KB

/.../X. Security. Network Attacks/

CS142L21P1.flv

92.3 MB

CS142L22P1.flv

86.5 MB

CS142L21P3.flv

82.0 MB

CS142L21P2.flv

70.3 MB

CS142L21P4.flv

59.7 MB

CS142L22P2.flv

51.1 MB

CS142L22P3.flv

20.4 MB

secNetwork.ppt

1.0 MB

/.../XIV. Security. Phishing Attacks/

CS142L25P6.flv

88.1 MB

CS142L25P4.flv

71.0 MB

CS142L25P3.flv

57.8 MB

CS142L25P5.flv

45.8 MB

secPhishing.ppt

939.5 KB

/!Web Applications/I. INTRODUCTION/

CS142L1P1-new.flv

87.9 MB

CS142L1P5-new.flv

82.4 MB

CS142L1P4-new.flv

72.5 MB

CS142L1P3-new.flv

67.5 MB

CS142L1P2-new.flv

33.7 MB

/!Model Thinking/!KNOWLEDGEBASE/

NetLogo5.0Installer.exe

85.6 MB

netlogo-5.0.tar.gz

62.5 MB

R2Granovetter.pdf

2.5 MB

NetLogoLite.jar

2.2 MB

12-02-002.pdf

1.1 MB

407.full.pdf

914.4 KB

R4MCRI.pdf

882.9 KB

R1Page.pdf

852.6 KB

R5Linearmodels.pdf

827.7 KB

R7Tips.pdf

673.8 KB

R9ProblemSolving.pdf

632.5 KB

Six Sigma - Wikipedia, the free encyclopedia.png

602.0 KB

R11Lyapunov.pdf

585.7 KB

R8growth.pdf

584.8 KB

R10Markov.pdf

496.5 KB

Behavioral Economics- The Concise Encyclopedia of Economics Library of Economics and Liberty.png

409.0 KB

R7Diffusion.pdf

339.9 KB

Binomial Distribution.png

299.3 KB

NetLogo User Community Models- Dissemination of Culture.png

275.9 KB

R12CoordinationCulture.pdf

267.7 KB

Sampling Distribution.png

264.4 KB

R2Schelling.pdf

194.7 KB

R4Decision.pdf

177.6 KB

R5CategoricalModels.pdf

171.7 KB

R3CA2.pdf

167.5 KB

R2StandingOvation.MillerPage.pdf

144.3 KB

Tipping Points Santa Fe Institute.png

142.9 KB

R1Epstein.pdf

134.4 KB

R3CAs.pdf

131.3 KB

View Quizzes.png

85.6 KB

R3Preferences.pdf

64.8 KB

R4Spatial.pdf

54.5 KB

Dissemination of Culture.nlogo

16.4 KB

/!Web Applications/XVI. Datacenters/

CS142L27P4.flv

84.8 MB

CS142L27P2.flv

64.1 MB

CS142L27P3.flv

58.7 MB

CS142L27P5.flv

46.8 MB

datacenter.ppt

1.5 MB

/.../XII. Security. Isolation/

CS142L24P2.flv

79.1 MB

CS142L24P3.flv

78.6 MB

CS142L24P1.flv

73.8 MB

CS142L23P3.flv

72.0 MB

CS142L23P4.flv

47.3 MB

secIsolation.ppt

42.0 KB

/knowledgebase/

Daphne_Koller,_Nir_Friedman-Probabilistic_Graphical_Models__Principles_and_Techniques_(Adaptive_Computation_and_Machine_Learning)-The_MIT_Press(2009).pdf

69.4 MB

/!Practical Unix/GDB/

gdb-essentials-2.mp4

49.5 MB

gdb-essentials-1.mp4

22.0 MB

/!Practical Unix/Intro/

intro-shell.mp4

39.0 MB

intro-environment.mp4

19.1 MB

intro-text-editors.mp4

14.8 MB

/!Practical Unix/Network/

curl-3-customizing-web-requests.mp4

35.6 MB

curl-2-web-requests.mp4

16.3 MB

scp.mp4

7.1 MB

curl-1-intro.mp4

6.5 MB

wget.mp4

2.6 MB

/!Practical Unix/Shell/

zsh-globbing.mp4

34.9 MB

login-shell.mp4

8.0 MB

/.../2. Segregation and Peer Effects/

2 - 5 - The Standing Ovation Model.mp4

31.4 MB

2 - 2 - Schelling's Segregation Model.mp4

25.4 MB

Slides_L2F-Identification.pptx

17.1 MB

2 - 3 - Measuring Segregation.mp4

16.5 MB

2 - 6 - The Identification Problem.mp4

16.1 MB

2 - 4 - Peer Effects.mp4

11.9 MB

2 - 1 - Sorting and Peer Effects Introduction.mp4

8.6 MB

Slides_L2C-MeasuringDisparity.pptx

6.6 MB

Slides_L2B-Schelling.ppt

2.6 MB

Slides_L2E-StandingOvation.pptx

2.2 MB

Slides_L2D-RiotModel.pptx

1.4 MB

Slides_L2A-Intro.pptx

387.6 KB

2 - 5 - The Standing Ovation Model.srt

32.7 KB

2 - 2 - Schelling's Segregation Model.srt

20.9 KB

2 - 3 - Measuring Segregation.srt

19.0 KB

2 - 6 - The Identification Problem.srt

17.4 KB

2 - 4 - Peer Effects.srt

12.2 KB

2 - 1 - Sorting and Peer Effects Introduction.srt

9.9 KB

/!Model Thinking/3. Aggregation/

3 - 2 - Central Limit Theorem.mp4

30.4 MB

3 - 5 - Cellular Automata.mp4

25.5 MB

3 - 4 - Game of Life.mp4

21.1 MB

3 - 6 - Preference Aggregation.mp4

20.7 MB

3 - 1 - Aggregation.mp4

15.3 MB

3 - 3 - Six Sigma.mp4

7.4 MB

Slides_L3A.pptx

5.7 MB

Slides_L3E.pptx

3.4 MB

Slides_L3D.pptx

1.9 MB

Slides_L3B1.pptx

1.4 MB

Slides_L3C.pptx

498.8 KB

Slides_L3B2.pptx

489.5 KB

3 - 5 - Cellular Automata.srt

29.5 KB

3 - 2 - Central Limit Theorem.srt

29.5 KB

3 - 4 - Game of Life.srt

24.6 KB

3 - 6 - Preference Aggregation.srt

20.8 KB

3 - 1 - Aggregation.srt

18.0 KB

3 - 3 - Six Sigma.srt

8.2 KB

/.../6. Categorical and Linear Models/

6 - 2 - Categorical Models.mp4

28.3 MB

6 - 5 - Reading Regression Output.mp4

22.9 MB

6 - 4 - Fitting Lines to Data.mp4

22.0 MB

6 - 7 - The Big Coefficient vs The New Reality.mp4

21.8 MB

6 - 3 - Linear Models.mp4

14.8 MB

6 - 6 - From Linear to Nonlinear.mp4

9.5 MB

6 - 1 - Introduction to Linear Models.mp4

8.3 MB

Slides_L6All.pptx

4.2 MB

6 - 5 - Reading Regression Output.srt

31.9 KB

6 - 2 - Categorical Models.srt

24.7 KB

6 - 7 - The Big Coefficient vs The New Reality.srt

19.9 KB

6 - 4 - Fitting Lines to Data.srt

17.2 KB

6 - 3 - Linear Models.srt

12.8 KB

6 - 6 - From Linear to Nonlinear.srt

10.5 KB

6 - 1 - Introduction to Linear Models.srt

7.9 KB

/!Probabilistic Graphical Models/

3 - 2 - Temporal Models - DBNs (23_02).mp4

27.3 MB

6 - 6 - Log-Linear Models (22_08).mp4

27.0 MB

6 - 3 - Conditional Random Fields (22_22).mp4

26.3 MB

7 - 1 - Knowledge Engineering (23_05).mp4

25.9 MB

1 - 2 - Overview and Motivation (19_17).mp4

24.1 MB

3 - 4 - Plate Models (20_08).mp4

23.6 MB

6 - 5 - I-maps and perfect maps (20_59).mp4

23.5 MB

2 - 5 - Independencies in Bayesian Networks (18_18).mp4

22.6 MB

4 - 2 - Moving Data Around (16_07).mp4

21.8 MB

2 - 1 - Semantics & Factorization (17_20).mp4

20.5 MB

6 - 2 - General Gibbs Distribution (15_52).mp4

19.9 MB

4 - 1 - Basic Operations (13_59).mp4

18.6 MB

download.mp4-{7ea73573-436d-4265-b6ec-f4e50b1108ea}.dtapart

17.3 MB

4 - 6 - Vectorization (13_48).mp4

16.9 MB

5 - 2 - Tree-Structured CPDs (14_37).mp4

16.8 MB

5 - 3 - Independence of Causal Influence (13_08).mp4

16.6 MB

2 - 4 - Conditional Independence (12_38).mp4

16.3 MB

2 - 3 - Flow of Probabilistic Influence (14_36).mp4

16.2 MB

5 - 4 - Continuous Variables (13_25).mp4

16.1 MB

4 - 3 - Computing On Data (13_15).mp4

16.0 MB

3 - 3 - Temporal Models - HMMs (12_01).mp4

14.2 MB

4 - 4 - Plotting Data (09_38).mp4

14.0 MB

9 - 1 - Belief Propagation (21_21).mp4

13.9 MB

2 - 8 - Knowledge Engineering Example - SAMIAM (14_14).mp4

13.4 MB

6 - 1 - Pairwise Markov Networks (10_59).mp4

13.2 MB

3 - 1 - Overview of Template Models (10_55).mp4

12.1 MB

2 - 7 - Application - Medical Diagnosis (09_19).mp4

12.1 MB

8 - 3 - Variable Elimination Algorithm (16_17).mp4

11.6 MB

2 - 2 - Reasoning Patterns (09_59).mp4

11.3 MB

2 - 6 - Naive Bayes (09_52).mp4

11.2 MB

6 - 7 - Shared Features in Log-Linear Models (08_28).mp4

10.5 MB

9 - 2 - Properties of Cluster Graphs (15_00).mp4

10.2 MB

5 - 1 - Overview_ Structured CPDs (08_00).mp4

10.1 MB

8 - 5 - Graph-Based Perspective on Variable Elimination (15_25).mp4

10.0 MB

8 - 1 - Overview_ Conditional Probability Queries (15_22).mp4

9.5 MB

8 - 6 - Finding Elimination Orderings (11_58).mp4

9.2 MB

8 - 4 - Complexity of Variable Elimination (12_48).mp4

9.0 MB

1 - 4 - Factors (06_40).mp4

7.7 MB

1 - 1 - Welcome! (05_35).mp4

7.5 MB

8 - 2 - Overview_ MAP Inference (09_42).mp4

6.2 MB

6 - 4 - Independencies in Markov Networks (04_48).mp4

6.1 MB

1 - 3 - Distributions (04_56).mp4

6.1 MB

4 - 7 - Working on and Submitting Programming Exercises (03_33).mp4

5.8 MB

7 - 1 - Knowledge Engineering (23_05).srt

28.9 KB

6 - 6 - Log-Linear Models (22_08).srt

27.2 KB

3 - 2 - Temporal Models - DBNs (23_02).srt

27.0 KB

1 - 2 - Overview and Motivation (19_17).srt

25.3 KB

9 - 1 - Belief Propagation (21_21).srt

24.5 KB

6 - 3 - Conditional Random Fields (22_22).srt

24.0 KB

3 - 4 - Plate Models (20_08).srt

23.9 KB

2 - 8 - Knowledge Engineering Example - SAMIAM (14_14).srt

23.6 KB

2 - 5 - Independencies in Bayesian Networks (18_18).srt

23.5 KB

6 - 5 - I-maps and perfect maps (20_59).srt

23.1 KB

2 - 1 - Semantics & Factorization (17_20).srt

21.6 KB

4 - 2 - Moving Data Around (16_07).srt

19.0 KB

7 - 1 - Knowledge Engineering (23_05).txt

18.7 KB

3 - 2 - Temporal Models - DBNs (23_02).txt

18.4 KB

8 - 3 - Variable Elimination Algorithm (16_17).srt

17.9 KB

8 - 1 - Overview_ Conditional Probability Queries (15_22).srt

17.9 KB

1 - 2 - Overview and Motivation (19_17).txt

17.2 KB

5 - 2 - Tree-Structured CPDs (14_37).srt

17.2 KB

4 - 6 - Vectorization (13_48).srt

17.1 KB

9 - 2 - Properties of Cluster Graphs (15_00).srt

16.9 KB

4 - 1 - Basic Operations (13_59).srt

16.8 KB

6 - 6 - Log-Linear Models (22_08).txt

16.7 KB

9 - 1 - Belief Propagation (21_21).txt

16.7 KB

6 - 2 - General Gibbs Distribution (15_52).srt

16.7 KB

6 - 3 - Conditional Random Fields (22_22).txt

16.4 KB

4 - 3 - Computing On Data (13_15).srt

16.3 KB

3 - 4 - Plate Models (20_08).txt

16.3 KB

2 - 5 - Independencies in Bayesian Networks (18_18).txt

16.0 KB

2 - 3 - Flow of Probabilistic Influence (14_36).srt

15.8 KB

6 - 5 - I-maps and perfect maps (20_59).txt

15.8 KB

3 - 3 - Temporal Models - HMMs (12_01).srt

15.5 KB

4 - 5 - Control Statements_ for, while, if statements (12_55).srt

15.5 KB

2 - 4 - Conditional Independence (12_38).srt

15.3 KB

5 - 4 - Continuous Variables (13_25).srt

15.0 KB

2 - 1 - Semantics & Factorization (17_20).txt

14.8 KB

8 - 5 - Graph-Based Perspective on Variable Elimination (15_25).txt

14.7 KB

8 - 6 - Finding Elimination Orderings (11_58).srt

14.5 KB

5 - 3 - Independence of Causal Influence (13_08).srt

14.3 KB

6 - 1 - Pairwise Markov Networks (10_59).srt

13.7 KB

8 - 4 - Complexity of Variable Elimination (12_48).srt

13.2 KB

4 - 2 - Moving Data Around (16_07).txt

13.0 KB

3 - 1 - Overview of Template Models (10_55).srt

13.0 KB

2 - 8 - Knowledge Engineering Example - SAMIAM (14_14).txt

12.8 KB

2 - 7 - Application - Medical Diagnosis (09_19).srt

12.4 KB

8 - 3 - Variable Elimination Algorithm (16_17).txt

12.3 KB

8 - 1 - Overview_ Conditional Probability Queries (15_22).txt

12.2 KB

2 - 2 - Reasoning Patterns (09_59).srt

12.2 KB

5 - 2 - Tree-Structured CPDs (14_37).txt

11.8 KB

4 - 6 - Vectorization (13_48).txt

11.7 KB

9 - 2 - Properties of Cluster Graphs (15_00).txt

11.6 KB

4 - 1 - Basic Operations (13_59).txt

11.5 KB

4 - 4 - Plotting Data (09_38).srt

11.5 KB

8 - 2 - Overview_ MAP Inference (09_42).srt

11.5 KB

6 - 2 - General Gibbs Distribution (15_52).txt

11.4 KB

2 - 6 - Naive Bayes (09_52).srt

11.4 KB

4 - 3 - Computing On Data (13_15).txt

11.2 KB

2 - 3 - Flow of Probabilistic Influence (14_36).txt

10.9 KB

4 - 5 - Control Statements_ for, while, if statements (12_55).txt

10.6 KB

3 - 3 - Temporal Models - HMMs (12_01).txt

10.6 KB

2 - 4 - Conditional Independence (12_38).txt

10.5 KB

1 - 1 - Welcome! (05_35).srt

10.3 KB

5 - 4 - Continuous Variables (13_25).txt

10.2 KB

5 - 1 - Overview_ Structured CPDs (08_00).srt

10.2 KB

8 - 6 - Finding Elimination Orderings (11_58).txt

9.9 KB

5 - 3 - Independence of Causal Influence (13_08).txt

9.8 KB

6 - 1 - Pairwise Markov Networks (10_59).txt

9.4 KB

6 - 7 - Shared Features in Log-Linear Models (08_28).srt

9.2 KB

8 - 4 - Complexity of Variable Elimination (12_48).txt

9.1 KB

3 - 1 - Overview of Template Models (10_55).txt

8.9 KB

1 - 4 - Factors (06_40).srt

8.7 KB

2 - 7 - Application - Medical Diagnosis (09_19).txt

8.5 KB

2 - 2 - Reasoning Patterns (09_59).txt

8.3 KB

4 - 4 - Plotting Data (09_38).txt

7.9 KB

8 - 2 - Overview_ MAP Inference (09_42).txt

7.9 KB

2 - 6 - Naive Bayes (09_52).txt

7.8 KB

1 - 3 - Distributions (04_56).srt

7.1 KB

5 - 1 - Overview_ Structured CPDs (08_00).txt

6.9 KB

6 - 7 - Shared Features in Log-Linear Models (08_28).txt

6.4 KB

1 - 1 - Welcome! (05_35).txt

6.2 KB

1 - 4 - Factors (06_40).txt

6.0 KB

6 - 4 - Independencies in Markov Networks (04_48).srt

5.5 KB

1 - 3 - Distributions (04_56).txt

4.8 KB

4 - 7 - Working on and Submitting Programming Exercises (03_33).srt

4.6 KB

6 - 4 - Independencies in Markov Networks (04_48).txt

3.7 KB

4 - 7 - Working on and Submitting Programming Exercises (03_33).txt

3.2 KB

/.../12. Coordination and Culture/

12 - 2 - What Is Culture And Why Do We Care_.mp4

27.3 MB

12 - 5 - Coordination and Consistency.mp4

26.0 MB

12 - 3 - Pure Coordination Game.mp4

22.1 MB

12 - 4 - Emergence of Culture.mp4

17.9 MB

12 - 1 - Coordination and Culture.mp4

7.0 MB

/.../Chapter Five - Test Driven Development/

6 - 8 - 5.8 - 5.11 - Coverage, Unit vs. Integration Tests, Other Testing Concepts, and Perspectives.mp4

27.0 MB

6 - 7 - 5.6 - 5.7 - TDD for the Model & Stubbing the Internet.mp4

20.8 MB

6 - 3 - 5.3 - The TDD Cycle_ Red-Green-Refactor.mp4

18.5 MB

6 - 4 - 5.4 - More Controller Specs and Refactoring.mp4

18.2 MB

6 - 5 - 5.4 - More Controller Specs and Refactoring (continued).mp4

13.3 MB

6 - 2 - 5.2 - FIRST, TDD and Getting Started with RSpec.mp4

12.4 MB

6 - 6 - 5.5 - Fixtures and Factories.mp4

11.6 MB

slides_Chapter5-TDD.pdf

6.0 MB

6 - 1 - 5.1 - Testing Overview.mp4

4.8 MB

6 - 8 - 5.8 - 5.11 - Coverage, Unit vs. Integration Tests, Other Testing Concepts, and Perspectives.srt

45.5 KB

6 - 7 - 5.6 - 5.7 - TDD for the Model & Stubbing the Internet.srt

25.7 KB

6 - 3 - 5.3 - The TDD Cycle_ Red-Green-Refactor.srt

22.8 KB

6 - 4 - 5.4 - More Controller Specs and Refactoring.srt

22.7 KB

6 - 5 - 5.4 - More Controller Specs and Refactoring (continued).srt

16.1 KB

6 - 2 - 5.2 - FIRST, TDD and Getting Started with RSpec.srt

15.6 KB

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/.../Chapter Three - Ruby and Rails Basics/

4 - 10 - 3.11 - ActiveRecord Basics.mp4

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4 - 1 - 3.1 - Ruby 101.mp4

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4 - 14 - 3.15 - Redirection, Flash, and the Session.mp4

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4 - 13 - 3.14 - Forms.mp4

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4 - 11 - 3.12 - Controllers and Views.mp4

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4 - 15 - 3.16, 3.17, 3.18 - Finishing CRUD + Fallacies, pitfalls and perspectives on SaaS-on-Rails.mp4

11.1 MB

4 - 9 - 3.10 - Databases and Migrations.mp4

10.8 MB

4 - 5 - 3.6 - Ruby Blocks, Iterators, Functional Idioms.mp4

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4 - 4 - 3.5 - Ruby Metaprogramming.mp4

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4 - 3 - 3.4 - Object Oriented Programming in Ruby.mp4

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4 - 12 - 3.13 - Debugging.mp4

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slides_Chapter3part1-RubyForJavaProgrammers.pdf

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4 - 10 - 3.11 - ActiveRecord Basics.srt

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4 - 7 - 3.8 - yield().srt

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4 - 13 - 3.14 - Forms.srt

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4 - 12 - 3.13 - Debugging.srt

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/.../5. Thinking Electrons. Modeling People/

5 - 2 - Rational Actor Models.mp4

24.9 MB

5 - 3 - Behavioral Models.mp4

21.8 MB

5 - 5 - When Does Behavior Matter_.mp4

20.4 MB

5 - 4 - Rule Based Models.mp4

19.0 MB

5 - 1 - Thinking Electrons_ Modeling People.mp4

10.7 MB

5 - 2 - Rational Actor Models.srt

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5 - 4 - Rule Based Models.srt

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/!Software as a Service/

Software_Engineering_for_Software_as_a_Service.flv

24.9 MB

572442_F6321_reynolds_a_wright_m_oracle_soa_suite_11g_r1_developer_s_guid.pdf

21.3 MB

733484_CEC4B_bean_j_soa_and_web_services_interface_design_principles_tech.pdf

20.2 MB

723461_ED469_pathak_n_pro_wcf_4_practical_microsoft_soa_implementation.pdf

9.8 MB

Eben_Hewitt_Java_Soa_Cookbook__2009.pdf

8.0 MB

724673_6468C_bell_m_service_oriented_modeling_service_analysis_design_and.pdf

7.1 MB

724563_2C0A6_brown_p_c_implementing_soa_total_architecture_in_practice.pdf

6.7 MB

443122_C5B60_maximilien_e_m_rossi_g_yuan_s_t_ludwig_h_fantinato_m_eds_ser.pdf

6.7 MB

The Definitive Guide to SOA - Oracle Service Bus, Second Edition Sep 2008.pdf

6.6 MB

!fox_a_patterson_d_engineering_long_lasting_software_an_agile.pdf

5.4 MB

721103_3AE08_binildas_c_a_barai_m_caselli_v_service_oriented_architecture.pdf

4.6 MB

100 SOA Questions Asked and Answered-Mantesh.pdf

3.4 MB

729689_B57F9_cummins_f_a_building_the_agile_enterprise_with_soa_bpm_and_m.pdf

3.0 MB

Cloud Computing and SOA Convergence in your Enterprise.pdf

2.8 MB

733577_A62A7_skalle_h_at_al_aligning_business_process_management_service.pdf

1.4 MB

Software Engineering for Software as a Service.png

882.8 KB

Home.png

123.2 KB

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/.../9. Diversity and Innovation/

9 - 2 - Perspectives and Innovation.mp4

24.1 MB

9 - 4 - Teams and Problem Solving.mp4

18.4 MB

9 - 5 - Recombination .mp4

18.3 MB

9 - 3 - Heuristics.mp4

14.9 MB

9 - 1 - Problem Solving and Innovation.mp4

7.7 MB

9 - 2 - Perspectives and Innovation.srt

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9 - 4 - Teams and Problem Solving.srt

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9 - 5 - Recombination .srt

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/!Unsupervised Feature Learning and Deep Learning/

03.5-NeuralNetworks-ParameterLearning.mp4

24.0 MB

02.5-LogisticRegression-ExponentiallyWeightedAverage.mp4

21.7 MB

02.2-LogisticRegression-BatchGradientDescent.mp4

18.9 MB

03.6-NeuralNetworks-GradientChecking.mp4

18.5 MB

03.8-NeuralNetworks-VectorizedImplementation.mp4

18.3 MB

03.1-NeuralNetworks-Representation.mp4

17.5 MB

03.4-NeuralNetworks-ExamplesAndIntuitions2.mp4

14.0 MB

02.3-LogisticRegression-GradientDescentInPractice.mp4

13.0 MB

03.7-NeuralNetworks-RandomInitialization.mp4

11.3 MB

02.4-LogisticRegression-StochasticGradientDescent.mp4

11.2 MB

02.6-LogisticRegression-ShufflingData.mp4

10.4 MB

03.3-NeuralNetworks-ExamplesAndIntuitions1.mp4

9.9 MB

02.1-LogisticRegression-Representation.mp4

8.3 MB

03.2-NeuralNetworks-Architectures.mp4

8.1 MB

03.9-NeuralNetworks-ActivationFunctionDerivative.mp4

5.3 MB

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Unsupervised Feature Learning and Deep Learning.png

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/!Practical Unix/Search/

grep3.mp4

23.8 MB

grep2.mp4

21.9 MB

grep1.mp4

19.9 MB

find.mp4

17.8 MB

diff.mp4

12.2 MB

grep4.mp4

8.5 MB

/!Model Thinking/7. Tipping Points/

7 - 2 - Percolation Models.mp4

22.8 MB

7 - 4 - Contagion Models 2_ SIS Model.mp4

17.4 MB

7 - 6 - Measuring Tips.mp4

17.3 MB

7 - 5 - Classifying Tipping Points.mp4

15.5 MB

7 - 3 - Contagion Models 1_ Diffusion.mp4

13.6 MB

7 - 1 - Tipping Points.mp4

11.9 MB

Slides_L7B.pptx

4.8 MB

Slides_L7D.pptx

4.5 MB

Slides_L7C.pptx

1.4 MB

Slides_L7E.pptx

786.7 KB

Slides_L7A.pptx

257.9 KB

7 - 2 - Percolation Models.srt

19.9 KB

7 - 5 - Classifying Tipping Points.srt

13.7 KB

7 - 4 - Contagion Models 2_ SIS Model.srt

13.5 KB

7 - 3 - Contagion Models 1_ Diffusion.srt

12.6 KB

7 - 1 - Tipping Points.srt

10.2 KB

/.../1. Introduction. Why model/

1 - 5 - Using Models to Decide, Strategize, and Design.mp4

22.6 MB

1 - 2 - Intelligent Citizens of the World.mp4

16.2 MB

1 - 3 - Thinking More Clearly .mp4

15.9 MB

1 - 4 - Using and Understanding Data.mp4

13.5 MB

1 - 1 - Why Model_.mp4

12.7 MB

Slides_Slides_L1B-IntelligentCitizenv2.pptx

9.3 MB

Slides_L1E-DecideDesign.pptx

5.0 MB

Slides_L1A-WhyModel.pptx

1.2 MB

Slides_L1C-ClearerThinker.pptx

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Slides_L1D-UseDatanocharts.pptx

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1 - 5 - Using Models to Decide, Strategize, and Design.srt

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1 - 2 - Intelligent Citizens of the World.srt

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1 - 3 - Thinking More Clearly .srt

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17.4 KB

/.../Chapter Two - SaaS Architecture/

3 - 1 - 2.1, 2.2 - The Web as a Client-Server System; TCP_IP Introduction.mp4

21.1 MB

3 - 6 - 2.7 - Controllers, Routes and RESTfulness.mp4

18.2 MB

3 - 3 - 2.4 - 3-tiered Shared-Nothing Architecture and Scaling.mp4

12.7 MB

3 - 5 - 2.6 - Models, Databases and ActiveRecord.mp4

10.9 MB

3 - 7 - 2.8 - Templates, Views and HAML.mp4

10.6 MB

3 - 2 - 2.3 - HTML and CSS.mp4

9.9 MB

3 - 8 - Summary and Reflections_ SaaS Architecture.mp4

9.7 MB

3 - 4 - 2.5 - Model-View-Controller Architecture.mp4

7.6 MB

slides_slides_02-SaaSArchitecture.pdf

2.1 MB

3 - 1 - 2.1, 2.2 - The Web as a Client-Server System; TCP_IP Introduction.srt

25.1 KB

3 - 6 - 2.7 - Controllers, Routes and RESTfulness.srt

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3 - 3 - 2.4 - 3-tiered Shared-Nothing Architecture and Scaling.srt

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3 - 2 - 2.3 - HTML and CSS.srt

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3 - 5 - 2.6 - Models, Databases and ActiveRecord.srt

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3 - 7 - 2.8 - Templates, Views and HAML.srt

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3 - 8 - Summary and Reflections_ SaaS Architecture.srt

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/Course/

7 - 4 - Learning Sentiment Lexicons (14_45).mp4

19.6 MB

5 - 2 - The Noisy Channel Model of Spelling (19_30).mp4

18.7 MB

6 - 7 - Precision, Recall, and the F measure (16_16).mp4

16.5 MB

7 - 5 - Other Sentiment Tasks (11_01).mp4

15.2 MB

4 - 7 - Good-Turing Smoothing (15_35).mp4

14.1 MB

7 - 2 - Sentiment Analysis_ A baseline algorithm (13_27).mp4

13.8 MB

2 - 3 - Word Tokenization (14_26).mp4

13.1 MB

1 - 1 - Course Introduction (14_11).mp4

12.9 MB

6 - 8 - Text Classification_ Evaluation (7_17).mp4

12.1 MB

6 - 6 - Multinomial Naive Bayes_ A Worked Example (8_58).mp4

11.9 MB

2 - 1 - Regular Expressions (11_25).mp4

11.4 MB

7 - 3 - Sentiment Lexicons (8_37).mp4

11.1 MB

2 - 4 - Word Normalization and Stemming (11_47).mp4

10.6 MB

4 - 3 - Evaluation and Perplexity (11_09).mp4

10.1 MB

7 - 1 - What is Sentiment Analysis_002.txt

10.0 MB

4 - 2 - Estimating N-gram Probabilities (9_38).mp4

9.9 MB

4 - 6 - Interpolation (10_25).mp4

9.8 MB

3 - 5 - Minimum Edit Distance in Computational Biology (9_29).mp4

9.4 MB

5 - 3 - Real-Word Spelling Correction (9_19).mp4

9.0 MB

4 - 8 - Kneser-Ney Smoothing (8_59).mp4

8.8 MB

6 - 3 - Formalizing the Naive Bayes Classifier (9_28).mp4

8.6 MB

2 - 2 - Regular Expressions in Practical NLP (6_04).mp4

8.4 MB

6 - 1 - What is Text Classification_002.txt

8.1 MB

4 - 1 - Introduction to N-grams (8_41).mp4

8.0 MB

5 - 4 - State of the Art Systems (7_10).mp4

6.9 MB

3 - 1 - Defining Minimum Edit Distance (7_04).mp4

6.9 MB

6 - 9 - Practical Issues in Text Classification (5_56).mp4

6.9 MB

6 - 4 - Naive Bayes_ Learning (5_22).mp4

6.5 MB

4 - 5 - Smoothing_ Add-One (6_30).mp4

6.3 MB

3 - 3 - Backtrace for Computing Alignments (5_55).mp4

5.8 MB

3 - 2 - Computing Minimum Edit Distance (5_54).mp4

5.6 MB

2 - 5 - Sentence Segmentation (5_31).mp4

5.2 MB

5 - 1 - The Spelling Correction Task (5_39).mp4

5.1 MB

4 - 4 - Generalization and Zeros (5_15).mp4

4.9 MB

6 - 5 - Naive Bayes_ Relationship to Language Modeling (4_35).mp4

4.3 MB

6 - 2 - Naive Bayes (3_19).mp4

3.4 MB

3 - 4 - Weighted Minimum Edit Distance (2_47).mp4

3.0 MB

intro.pdf

2.8 MB

03-02-WhatIsSentiment.pdf

1.2 MB

02-02-noisychannel.pdf

1.1 MB

03-01-FormalizingNB.pdf

1.1 MB

01-03-weighted.pdf

938.2 KB

03-01-taskTextClass.pptx

917.5 KB

02-01-generalization.pdf

850.5 KB

03-02-LearningSALexicons.pdf

845.5 KB

03-01-NBLearning.pdf

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02-02-realWorldSpellCorrect.pdf

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03-01-taskTextClass.pdf

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02-01-smoothingAddone.pdf

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03-02-baselineSA.pdf

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02-01-advGoodTuringSmooth.pdf

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03-02-SentimentLexicons.pdf

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02-02-spellCorrectionTask.pdf

771.9 KB

03-01-textClassPractical.pptx

766.5 KB

02-01-estimNgramProbs.pdf

757.8 KB

02-01-interpBackoff.pdf

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02-01-advKnesNeySmooth.pdf

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01-03-backtrace.pdf

728.7 KB

03-01-textClassEval.pptx

720.1 KB

03-01-textClassEval.pdf

708.3 KB

03-01-textClassPractical.pdf

690.0 KB

01-03-combio.pdf

689.1 KB

01-02-wordtok.pdf

687.5 KB

03-01-NaiveBayes.pdf

679.5 KB

01-02-regexp.pdf

668.0 KB

03-02-OtherSentimentTasks.pdf

667.9 KB

01-03-defineMinEdit.pdf

662.4 KB

02-01-ngramIntro.pdf

649.8 KB

03-01-MultinomNBexample.pdf

648.0 KB

03-01-NBRelationLM.pdf

643.3 KB

03-01-precisionRecallFmeasure.pdf

638.2 KB

02-01-EvalandPerplex.pdf

634.4 KB

01-02-normalization.pdf

631.6 KB

01-02-sentsegment.pdf

625.4 KB

01-03-computingmineditdistance.pdf

625.2 KB

02-02-StateoftheArtSystems.pdf

590.0 KB

5 - 2 - The Noisy Channel Model of Spelling (19_30).srt

31.6 KB

4 - 7 - Good-Turing Smoothing (15_35).srt

20.4 KB

7 - 4 - Learning Sentiment Lexicons (14_45).srt

20.4 KB

2 - 3 - Word Tokenization (14_26).srt

20.0 KB

1 - 1 - Course Introduction (14_11).srt

18.8 KB

7 - 2 - Sentiment Analysis_ A baseline algorithm (13_27).srt

18.5 KB

6 - 7 - Precision, Recall, and the F measure (16_16).srt

18.5 KB

5 - 2 - The Noisy Channel Model of Spelling (19_30).txt

17.8 KB

4 - 3 - Evaluation and Perplexity (11_09).srt

15.5 KB

7 - 5 - Other Sentiment Tasks (11_01).srt

14.8 KB

2 - 1 - Regular Expressions (11_25).srt

14.8 KB

2 - 4 - Word Normalization and Stemming (11_47).srt

14.6 KB

4 - 7 - Good-Turing Smoothing (15_35).txt

14.1 KB

4 - 6 - Interpolation (10_25).srt

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7 - 4 - Learning Sentiment Lexicons (14_45).txt

14.0 KB

4 - 1 - Introduction to N-grams (8_41).srt

13.9 KB

2 - 3 - Word Tokenization (14_26).txt

13.7 KB

4 - 8 - Kneser-Ney Smoothing (8_59).srt

13.1 KB

1 - 1 - Course Introduction (14_11).txt

12.8 KB

6 - 7 - Precision, Recall, and the F measure (16_16).txt

12.7 KB

7 - 2 - Sentiment Analysis_ A baseline algorithm (13_27).txt

12.7 KB

5 - 3 - Real-Word Spelling Correction (9_19).srt

12.1 KB

6 - 3 - Formalizing the Naive Bayes Classifier (9_28).srt

12.0 KB

4 - 2 - Estimating N-gram Probabilities (9_38).srt

12.0 KB

3 - 5 - Minimum Edit Distance in Computational Biology (9_29).srt

11.3 KB

6 - 8 - Text Classification_ Evaluation (7_17).srt

10.8 KB

4 - 3 - Evaluation and Perplexity (11_09).txt

10.6 KB

6 - 1 - What is Text Classification_001.txt

10.5 KB

5 - 4 - State of the Art Systems (7_10).srt

10.2 KB

7 - 5 - Other Sentiment Tasks (11_01).txt

10.2 KB

2 - 1 - Regular Expressions (11_25).txt

10.1 KB

4 - 1 - Introduction to N-grams (8_41).txt

10.1 KB

2 - 4 - Word Normalization and Stemming (11_47).txt

10.0 KB

4 - 6 - Interpolation (10_25).txt

9.6 KB

7 - 1 - What is Sentiment Analysis_001.txt

9.5 KB

3 - 1 - Defining Minimum Edit Distance (7_04).srt

9.0 KB

4 - 8 - Kneser-Ney Smoothing (8_59).txt

8.9 KB

5 - 3 - Real-Word Spelling Correction (9_19).txt

8.3 KB

4 - 2 - Estimating N-gram Probabilities (9_38).txt

8.3 KB

6 - 3 - Formalizing the Naive Bayes Classifier (9_28).txt

8.2 KB

4 - 5 - Smoothing_ Add-One (6_30).srt

8.2 KB

5 - 1 - The Spelling Correction Task (5_39).srt

8.0 KB

2 - 2 - Regular Expressions in Practical NLP (6_04).srt

7.9 KB

2 - 5 - Sentence Segmentation (5_31).srt

7.8 KB

3 - 5 - Minimum Edit Distance in Computational Biology (9_29).txt

7.8 KB

6 - 8 - Text Classification_ Evaluation (7_17).txt

7.5 KB

6 - 1 - What is Text Classification.txt

7.2 KB

4 - 4 - Generalization and Zeros (5_15).srt

7.2 KB

3 - 3 - Backtrace for Computing Alignments (5_55).srt

7.2 KB

5 - 4 - State of the Art Systems (7_10).txt

7.0 KB

3 - 2 - Computing Minimum Edit Distance (5_54).srt

6.8 KB

7 - 1 - What is Sentiment Analysis.txt

6.5 KB

view.htm

6.5 KB

view_001.htm

6.5 KB

view_002.htm

6.4 KB

3 - 1 - Defining Minimum Edit Distance (7_04).txt

6.2 KB

6 - 5 - Naive Bayes_ Relationship to Language Modeling (4_35).srt

6.1 KB

4 - 5 - Smoothing_ Add-One (6_30).txt

5.6 KB

5 - 1 - The Spelling Correction Task (5_39).txt

5.5 KB

2 - 2 - Regular Expressions in Practical NLP (6_04).txt

5.4 KB

2 - 5 - Sentence Segmentation (5_31).txt

5.3 KB

4 - 4 - Generalization and Zeros (5_15).txt

5.0 KB

3 - 3 - Backtrace for Computing Alignments (5_55).txt

4.9 KB

3 - 2 - Computing Minimum Edit Distance (5_54).txt

4.7 KB

6 - 2 - Naive Bayes (3_19).srt

4.6 KB

6 - 5 - Naive Bayes_ Relationship to Language Modeling (4_35).txt

4.2 KB

3 - 4 - Weighted Minimum Edit Distance (2_47).srt

3.9 KB

6 - 2 - Naive Bayes (3_19).txt

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3 - 4 - Weighted Minimum Edit Distance (2_47).txt

2.6 KB

6 - 9 - Practical Issues in Text Classification (5_56).srt

0.0 KB

7 - 3 - Sentiment Lexicons (8_37).srt

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6 - 6 - Multinomial Naive Bayes_ A Worked Example (8_58).srt

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/!Model Thinking/4. Decision Models/

4 - 5 - Decision Trees.mp4

19.4 MB

4 - 3 - Spatial Choice Models.mp4

15.4 MB

4 - 4 - Probability_ The Basics.mp4

14.6 MB

4 - 6 - Value of Information.mp4

13.3 MB

4 - 2 - Multi-Criterion Decision Making.mp4

12.5 MB

Slides_L4F-ValueofInfromation.pptx

10.6 MB

4 - 1 - Introduction to Decision Making.mp4

8.8 MB

Slides_L4D-Probability.pptx

2.0 MB

Slides_L4A-Intro.pptx

1.2 MB

Slides_L4C-SpatialModels.pptx

1.2 MB

Slides_L4E-DecisionTrees.pptx

998.3 KB

Slides_L4B-MultiCriterion.pptx

688.2 KB

4 - 5 - Decision Trees.srt

23.7 KB

4 - 3 - Spatial Choice Models.srt

19.2 KB

4 - 4 - Probability_ The Basics.srt

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4 - 6 - Value of Information.srt

14.1 KB

4 - 2 - Multi-Criterion Decision Making.srt

13.7 KB

4 - 1 - Introduction to Decision Making.srt

9.8 KB

/!Model Thinking/8. Economic Growth/

8 - 3 - Basic Growth Model.mp4

19.4 MB

8 - 6 - Why Do Some Countries Not Grow_.mp4

17.8 MB

8 - 4 - Solow Growth Model.mp4

17.0 MB

8 - 2 - Exponential Growth.mp4

16.5 MB

8 - 5 - WIll China Continue to Grow_.mp4

15.3 MB

8 - 1 - Introduction To Growth.mp4

8.2 MB

Slides_L8all.pptx

3.8 MB

8 - 3 - Basic Growth Model.srt

21.6 KB

8 - 6 - Why Do Some Countries Not Grow_.srt

20.1 KB

8 - 4 - Solow Growth Model.srt

18.9 KB

8 - 2 - Exponential Growth.srt

17.6 KB

8 - 5 - WIll China Continue to Grow_.srt

17.1 KB

8 - 1 - Introduction To Growth.srt

12.1 KB

/.../11. Lyaponuv Functions/

11 - 2 - The Organization of Cities.mp4

19.2 MB

11 - 1 - Lyapunov Functions.mp4

14.9 MB

11 - 3 - Exchange Economies and Externalities.mp4

14.6 MB

11 - 5 - Lyapunov_ Fun and Deep.mp4

12.5 MB

11 - 4 - Time to Convergence and Optimality.mp4

11.4 MB

11 - 6 - Lyapunov or Markov.mp4

11.1 MB

/.../Chapter Four - Behavior Driven Development/

5 - 5 - 4.6 - Enhancing Rotten Potatoes Again.mp4

18.5 MB

5 - 3 - 4.3 - 4.4 - Introducing and Running Cucumber and Capybara.mp4

17.4 MB

5 - 1 - 4.1 - Introduction to Behavior-Driven Design and User Stories.mp4

11.1 MB

5 - 2 - 4.2 - SMART User Stories.mp4

7.4 MB

5 - 4 - 4.5 - Lo-Fi UI Sketches and Storyboards.mp4

7.2 MB

slides_Chapter4-BehaviorDrivenDesign.pdf

6.3 MB

5 - 7 - 4.8 - 4.9 - Fallacies & Pitfalls, BDD Pros & Cons.mp4

4.2 MB

5 - 6 - 4.7 - Explicit vs. Implicit and Imperative vs. Declarative Scenarios.mp4

3.8 MB

5 - 3 - 4.3 - 4.4 - Introducing and Running Cucumber and Capybara.srt

16.2 KB

5 - 1 - 4.1 - Introduction to Behavior-Driven Design and User Stories.srt

13.3 KB

5 - 5 - 4.6 - Enhancing Rotten Potatoes Again.srt

11.6 KB

5 - 4 - 4.5 - Lo-Fi UI Sketches and Storyboards.srt

9.2 KB

5 - 2 - 4.2 - SMART User Stories.srt

8.2 KB

5 - 7 - 4.8 - 4.9 - Fallacies & Pitfalls, BDD Pros & Cons.srt

5.0 KB

5 - 6 - 4.7 - Explicit vs. Implicit and Imperative vs. Declarative Scenarios.srt

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/!Practical Unix/Scripting/

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/!Machine Learning/I. INTRODUCTION/

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/.../III. LINEAR REGRESSION II/

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/.../VI. NAIVE BAYES/

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/!Machine Learning/V. REGULARIZATION/

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/.../IV. LOGISTIC REGRESSION/

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04.3-LogisticRegression-OptimizationObjectiveI.mp4

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/!Machine Learning/

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