Stanford2 | A41C75DB3FBD6EC60F37561A1E235852FC57179E

Stanford2

Name	!Stanford2	DOWNLOAD Copy Link Trouble downloading? see How To
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
6 - 6 - 5.5 - Fixtures and Factories.srt	14.1 KB
6 - 1 - 5.1 - Testing Overview.srt	0.2 KB
/.../Chapter Three - Ruby and Rails Basics/
4 - 10 - 3.11 - ActiveRecord Basics.mp4	26.4 MB
4 - 6 - 3.7 - Mix-ins and Duck Typing.mp4	18.3 MB
4 - 7 - 3.8 - yield().mp4	17.2 MB
4 - 1 - 3.1 - Ruby 101.mp4	16.9 MB
4 - 14 - 3.15 - Redirection, Flash, and the Session.mp4	14.4 MB
4 - 2 - 3.2, 3.3 - Ruby Objects and Methods.mp4	14.0 MB
4 - 13 - 3.14 - Forms.mp4	13.3 MB
4 - 8 - 3.9 - Rails_ from Zero to CRUD.mp4	11.4 MB
4 - 11 - 3.12 - Controllers and Views.mp4	11.2 MB
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	10.7 MB
4 - 4 - 3.5 - Ruby Metaprogramming.mp4	9.9 MB
4 - 3 - 3.4 - Object Oriented Programming in Ruby.mp4	8.7 MB
4 - 12 - 3.13 - Debugging.mp4	7.9 MB
slides_Chapter3part1-RubyForJavaProgrammers.pdf	1.4 MB
4 - 10 - 3.11 - ActiveRecord Basics.srt	31.8 KB
4 - 6 - 3.7 - Mix-ins and Duck Typing.srt	23.6 KB
4 - 1 - 3.1 - Ruby 101.srt	20.7 KB
4 - 7 - 3.8 - yield().srt	20.0 KB
4 - 2 - 3.2, 3.3 - Ruby Objects and Methods.srt	17.8 KB
4 - 9 - 3.10 - Databases and Migrations.srt	14.3 KB
4 - 8 - 3.9 - Rails_ from Zero to CRUD.srt	13.9 KB
4 - 11 - 3.12 - Controllers and Views.srt	13.5 KB
4 - 5 - 3.6 - Ruby Blocks, Iterators, Functional Idioms.srt	13.0 KB
4 - 14 - 3.15 - Redirection, Flash, and the Session.srt	10.6 KB
4 - 4 - 3.5 - Ruby Metaprogramming.srt	10.6 KB
4 - 3 - 3.4 - Object Oriented Programming in Ruby.srt	10.3 KB
4 - 13 - 3.14 - Forms.srt	10.1 KB
4 - 12 - 3.13 - Debugging.srt	9.0 KB
4 - 15 - 3.16, 3.17, 3.18 - Finishing CRUD + Fallacies, pitfalls and perspectives on SaaS-on-Rails.srt	8.6 KB
/.../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	27.8 KB
5 - 4 - Rule Based Models.srt	22.7 KB
5 - 3 - Behavioral Models.srt	21.7 KB
5 - 5 - When Does Behavior Matter_.srt	20.5 KB
5 - 1 - Thinking Electrons_ Modeling People.srt	11.4 KB
/!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
Wiki - Course Outline.png	116.0 KB
/.../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	34.8 KB
9 - 4 - Teams and Problem Solving.srt	18.2 KB
9 - 5 - Recombination .srt	17.3 KB
9 - 3 - Heuristics.srt	15.7 KB
9 - 1 - Problem Solving and Innovation.srt	10.8 KB
/!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
Unsupervised Feature Learning and Deep Learning2.png	367.4 KB
Unsupervised Feature Learning and Deep Learning.png	99.6 KB
/!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	469.9 KB
Slides_L1D-UseDatanocharts.pptx	431.8 KB
1 - 5 - Using Models to Decide, Strategize, and Design.srt	25.8 KB
1 - 2 - Intelligent Citizens of the World.srt	21.1 KB
1 - 3 - Thinking More Clearly .srt	19.0 KB
1 - 4 - Using and Understanding Data.srt	18.6 KB
1 - 1 - Why Model_.srt	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	21.7 KB
3 - 3 - 2.4 - 3-tiered Shared-Nothing Architecture and Scaling.srt	16.7 KB
3 - 2 - 2.3 - HTML and CSS.srt	15.1 KB
3 - 5 - 2.6 - Models, Databases and ActiveRecord.srt	14.1 KB
3 - 7 - 2.8 - Templates, Views and HAML.srt	13.6 KB
3 - 8 - Summary and Reflections_ SaaS Architecture.srt	11.9 KB
3 - 4 - 2.5 - Model-View-Controller Architecture.srt	3.5 KB
/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	834.2 KB
02-02-realWorldSpellCorrect.pdf	804.3 KB
03-01-taskTextClass.pdf	800.4 KB
02-01-smoothingAddone.pdf	786.3 KB
03-02-baselineSA.pdf	783.0 KB
02-01-advGoodTuringSmooth.pdf	777.9 KB
03-02-SentimentLexicons.pdf	774.5 KB
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	741.6 KB
02-01-advKnesNeySmooth.pdf	739.0 KB
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	14.0 KB
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	3.2 KB
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	0.0 KB
6 - 6 - Multinomial Naive Bayes_ A Worked Example (8_58).srt	0.0 KB
6 - 4 - Naive Bayes_ Learning (5_22).srt	0.0 KB
6 - 6 - Multinomial Naive Bayes_ A Worked Example (8_58).txt	0.0 KB
6 - 4 - Naive Bayes_ Learning (5_22).txt	0.0 KB
7 - 3 - Sentiment Lexicons (8_37).txt	0.0 KB
6 - 9 - Practical Issues in Text Classification (5_56).txt	0.0 KB
/!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	16.8 KB
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	4.3 KB
/.../Chapter One - Engineering Software is Different from Engineering Hardware/
2 - 8 - 1.8, 1.9, 1.12 - Cloud Computing, Fallacies and Pitfalls.mp4	17.5 MB
2 - 2 - 1.1, 1.2 - Introduction - Engineering Software is Different from Engineering Hardware.mp4	11.1 MB
2 - 7 - 1.7 - Service-Oriented Architecture.mp4	10.4 MB
2 - 3 - 1.3 - Development Processes_ Waterfall vs. Agile.mp4	10.3 MB
2 - 5 - 1.5 - Productivity.mp4	9.4 MB
2 - 4 - 1.4 - Assurance.mp4	8.6 MB
2 - 6 - 1.6 - Software as a Service.mp4	5.0 MB
2 - 1 - Welcome to the Course!.mp4	4.4 MB
slides_slides_01-BigIdeas.pdf	1.1 MB
2 - 8 - 1.8, 1.9, 1.12 - Cloud Computing, Fallacies and Pitfalls.srt	21.0 KB
2 - 2 - 1.1, 1.2 - Introduction - Engineering Software is Different from Engineering Hardware.srt	13.8 KB
2 - 3 - 1.3 - Development Processes_ Waterfall vs. Agile.srt	13.5 KB
2 - 7 - 1.7 - Service-Oriented Architecture.srt	12.8 KB
2 - 5 - 1.5 - Productivity.srt	12.0 KB
2 - 4 - 1.4 - Assurance.srt	10.4 KB
2 - 1 - Welcome to the Course!.srt	6.7 KB
2 - 6 - 1.6 - Software as a Service.srt	5.9 KB
/.../10. Markov Processes/
10 - 2 - A Simple Markov Model.mp4	16.1 MB
10 - 5 - Exapting the Markov Model.mp4	15.4 MB
10 - 4 - Markov Convergence Theorem.mp4	15.4 MB
10 - 3 - Markov Model of Democratization.mp4	12.8 MB
10 - 1 - Markov Models.mp4	6.6 MB
10 - 5 - Exapting the Markov Model.srt	17.7 KB
10 - 4 - Markov Convergence Theorem.srt	17.3 KB
10 - 2 - A Simple Markov Model.srt	17.3 KB
10 - 3 - Markov Model of Democratization.srt	13.0 KB
10 - 1 - Markov Models.srt	7.6 KB
/.../II. LINEAR REGRESSION I/
02.4-LinearRegressionI-GradientDescent.mp4	14.7 MB
02.6-LinearRegressionI-VectorizedImplementation.mp4	12.8 MB
02.5-LinearRegressionI-GradientDescentForLinearRegression.mp4	9.1 MB
02.1-LinearRegressionI-SupervisedLearningIntro.mp4	8.5 MB
02.2-LinearRegressionI-ModelRepresentation.mp4	7.3 MB
02.3-LinearRegressionI-CostFunction.mp4	4.9 MB
Machine Learning.png	305.5 KB
ex2Data.zip	0.8 KB
/!Practical Unix/Scripting/
scripting.mp4	14.3 MB
/!Practical Unix/Permissions/
permissions.mp4	14.3 MB
/!Machine Learning/I. INTRODUCTION/
01.4-Introduction-UnsupervisedLearning.mp4	13.7 MB
01.5-Introduction-InstallingOctave.mp4	13.2 MB
01.3-Introduction-SupervisedLearning.mp4	10.3 MB
01.2-Introduction-WhatIsMachineLearning.mp4	7.8 MB
01.1-Introduction-Welcome.mp4	6.9 MB
/.../Input and Output Redirection/
io-output-to-file.mp4	11.6 MB
io-pipe.mp4	10.0 MB
io-tee.mp4	6.6 MB
io-input-from-file.mp4	4.1 MB
/.../III. LINEAR REGRESSION II/
03.4-LinearRegressionII-NormalEquations.mp4	10.4 MB
03.2-LinearRegressionII-LearningRate.mp4	9.9 MB
03.3-LinearRegressionII-FeaturesAndPolynomialRegression.mp4	7.8 MB
03.1-LinearRegressionII-FeatureScaling.mp4	7.3 MB
Machine Learning.png	266.1 KB
ex3Data.zip	0.7 KB
/.../VI. NAIVE BAYES/
06.1-NaiveBayes-GenerativeLearningAlgorithms.mp4	8.6 MB
06.2-NaiveBayes-TextClassification.mp4	7.0 MB
ex6DataEmails.zip	940.0 KB
ex6DataPrepared.zip	469.2 KB
Machine Learning.png	337.5 KB
/!Machine Learning/V. REGULARIZATION/
05.1-Regularization-TheProblemOfOverfitting.mp4	8.4 MB
05.4-Regularization-RegularizedLinearRegression.mp4	6.4 MB
05.5-Regularization-RegularizedLogisticRegression.mp4	6.4 MB
05.2-Regularization-OptimizationObjective.mp4	6.4 MB
05.3-Regularization-CommonVariations.mp4	5.5 MB
Machine Learning.mht	305.5 KB
ex5Data.zip	2.0 KB
/slides/
Section-2-Representation-Markov-Nets.pdf	8.1 MB
Section-1-Introduction-Combined.pdf	6.6 MB
1.1.1-Intro-overview.pdf	5.4 MB
Section-2-Representation-Bayes-Nets.pdf	4.9 MB
Section-2-Representation-Template-Models.pdf	4.3 MB
Section-2-Representation-CPDs.pdf	3.2 MB
2.4.6-Repn-MNs-loglinear.pdf	2.6 MB
2.2.3-Repn-Template-temporal-HMMs.pdf	1.9 MB
2.4.1-Repn-MNs-pairwise.pdf	1.5 MB
2.3.3-Repn-CPDs-ICI.pdf	1.4 MB
2.1.7-Repn-BNs-diagnosis.pdf	1.0 MB
2.4.3-Repn-MNs-CRFs.pdf	972.4 KB
2.2.2-Repn-Template-temporal-DBNs.pdf	861.3 KB
2.4.7-Repn-Shared-Features-loglinear.pdf	776.5 KB
2.4.2-Repn-MNs-Gibbs.pdf	709.8 KB
2.1.5-Repn-Ind-BNs.pdf	685.4 KB
2.3.4-Repn-CPDs-continuous.pdf	610.7 KB
2.3.2-Repn-CPDs-tree.pdf	580.1 KB
2.1.6-Repn-BNs-NaiveBayes.pdf	565.3 KB
2.2.4-Repn-Template-plates.pdf	516.0 KB
2.2.1-Repn-Template-overview.pdf	467.2 KB
2.1.1-Repn-BNs-semantics.pdf	444.5 KB
2.4.5-Repn-Ind-I-maps.pdf	440.5 KB
2.3.1-Repn-CPDs-overview.pdf	423.3 KB
2.1.4-Repn-Ind-conditional-independence.pdf	421.1 KB
0262013193.htm	396.2 KB
2.1.3-Repn-BNs-flow-influence.pdf	381.3 KB
2.1.2-Repn-BNs-patterns.pdf	379.7 KB
1.1.3-Intro-factors.pdf	378.8 KB
1.1.2-Intro-distributions.pdf	348.9 KB
2.4.4-Repn-Ind-MNs.pdf	328.5 KB
1.0-Welcome.pdf	290.2 KB
/.../IV. LOGISTIC REGRESSION/
04.7-LogisticRegression-NewtonsMethodII.mp4	7.5 MB
04.3-LogisticRegression-OptimizationObjectiveI.mp4	7.1 MB
04.6-LogisticRegression-NewtonsMethodI.mp4	7.1 MB
04.5-LogisticRegression-GradientDescent.mp4	6.3 MB
04.8-LogisticRegression-GradientDescentVsNewtonsMethod.mp4	5.4 MB
04.4-LogisticRegression-OptimizationObjectiveII.mp4	5.3 MB
04.2-LogisticRegression-Model.mp4	4.4 MB
04.1-LogisticRegression-Classification.mp4	4.3 MB
Machine Learning.png	203.2 KB
ex4Data.zip	0.7 KB
/!Model Thinking/
Model_Thinking.flv	7.4 MB
Model Thinking.png	530.7 KB
Wiki - Syllabus.png	185.3 KB
Video Listing.png	160.6 KB
Home.png	92.7 KB
/0. SaaS Chat/
1 - 1 - SaaS Chat 1.mp4	5.0 MB
/!Machine Learning/IX/
Machine Learning.png	1.9 MB
ex9Data.zip	843.5 KB
kmeans.m	3.0 KB
/!Web Applications/
Course Staff.png	447.5 KB
Web Applications.png	200.2 KB
Course Information.png	64.7 KB
Lecture Schedule.png	47.8 KB
CS 142- Web Applications.png	37.2 KB
/!Machine Learning/VIII/
Machine Learning.png	324.0 KB
ex8Data.zip	7.9 KB
ex8.m	0.5 KB
/!Machine Learning/VII/
ex7Data.zip	309.6 KB
Machine Learning.png	205.8 KB
/!Web Applications/!Projects/
CS142 Project #1.png	257.0 KB
CS142 Project #5.png	122.1 KB
CS142 Project #2.png	110.6 KB
CS142 Project #6.png	81.1 KB
CS142 Project #8.png	79.4 KB
CS142 Project #3.png	74.5 KB
CS142 Project #4.png	72.9 KB
CS142 Project #7.png	51.6 KB
Projects.png	24.0 KB
/NaturalLanguageProcessing/materials/ainlpcs224n/
Syllabus.pdf	178.7 KB
ProgAssignFinalProject.pdf	133.2 KB
ProgAssign2.pdf	121.4 KB
Quiz8.pdf	108.5 KB
ProgAssign3.pdf	104.6 KB
ProgAssign1.pdf	103.8 KB
Quiz4.pdf	77.4 KB
Quiz6.pdf	48.9 KB
ProgAssign2Decoder.pdf	37.7 KB
Quiz5.pdf	36.6 KB
Quiz3.pdf	26.2 KB
Quiz2.pdf	21.8 KB
Quiz1.pdf	19.7 KB
Quiz7.pdf	19.5 KB
assignments.html	8.2 KB
exams.html	7.0 KB
/NaturalLanguageProcessing/images/
SEEglobe.jpg	108.1 KB
khatib.jpg	56.8 KB
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hw2a.gif	0.2 KB
clear.gif	0.0 KB
/!Machine Learning/
Machine Learning.png	98.0 KB
/NaturalLanguageProcessing/materials/ainlpcs224n/transcripts/
NaturalLanguageProcessing-Lecture01.pdf	72.7 KB
NaturalLanguageProcessing-Lecture01.html	71.9 KB
NaturalLanguageProcessing-Lecture12.pdf	71.4 KB
NaturalLanguageProcessing-Lecture03.pdf	68.0 KB
NaturalLanguageProcessing-Lecture18.pdf	67.7 KB
NaturalLanguageProcessing-Lecture12.html	67.4 KB
NaturalLanguageProcessing-Lecture14.html	66.3 KB
NaturalLanguageProcessing-Lecture11.html	65.9 KB
NaturalLanguageProcessing-Lecture18.html	65.8 KB
NaturalLanguageProcessing-Lecture06.pdf	65.8 KB
NaturalLanguageProcessing-Lecture13.pdf	65.7 KB
NaturalLanguageProcessing-Lecture06.html	65.6 KB
NaturalLanguageProcessing-Lecture13.html	65.6 KB
NaturalLanguageProcessing-Lecture14.pdf	65.4 KB
NaturalLanguageProcessing-Lecture11.pdf	65.1 KB
NaturalLanguageProcessing-Lecture05.html	65.0 KB
NaturalLanguageProcessing-Lecture03.html	64.9 KB
NaturalLanguageProcessing-Lecture05.pdf	64.8 KB
NaturalLanguageProcessing-Lecture02.pdf	64.7 KB
NaturalLanguageProcessing-Lecture02.html	64.0 KB
NaturalLanguageProcessing-Lecture16.html	61.9 KB
NaturalLanguageProcessing-Lecture15.pdf	61.7 KB
NaturalLanguageProcessing-Lecture16.pdf	61.4 KB
NaturalLanguageProcessing-Lecture08.pdf	61.3 KB
NaturalLanguageProcessing-Lecture07.pdf	61.2 KB
NaturalLanguageProcessing-Lecture04.pdf	60.6 KB
NaturalLanguageProcessing-Lecture08.html	60.4 KB
NaturalLanguageProcessing-Lecture15.html	60.3 KB
NaturalLanguageProcessing-Lecture09.pdf	58.8 KB
NaturalLanguageProcessing-Lecture07.html	58.7 KB
NaturalLanguageProcessing-Lecture04.html	57.2 KB
NaturalLanguageProcessing-Lecture09.html	57.2 KB
NaturalLanguageProcessing-Lecture17.pdf	46.6 KB
NaturalLanguageProcessing-Lecture10.pdf	46.6 KB
NaturalLanguageProcessing-Lecture10.html	45.0 KB
NaturalLanguageProcessing-Lecture17.html	44.1 KB
/!Practical Unix/
Practical Unix.png	69.0 KB
CS1U- Practical Unix (Fall 2011) -- CourseWare.png	67.2 KB
/NaturalLanguageProcessing/css/
base.css	20.6 KB
OpenCourse.css	6.5 KB
/NaturalLanguageProcessing/
lecturelist.html	20.5 KB
index.html	10.6 KB
Click_index_to_start.txt	0.1 KB
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