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name
timeviews
7.3.7 Visualization for Law and Order - Video 4: A Heatmap9:5043
2.2.7 An Introduction to Linear Regression - Video 4: Linear Regression in R8:27243
7.4.6 R7. Visualization - Video 5: World Maps in R11:3877
3.3.9 The Framingham Heart Study - Video 5: Interventions1:4553
7.3.9 Visualization for Law and Order - Video 5: A Geographical Hot Spot Map8:2543
6.4.4 R6. Segmenting Images - Video 3: Hierarchical Clustering7:4338
9.1.1 Welcome to Unit 9: An Introduction to Integer Optimization0:41140
3.4.3 R3. Election Forecasting - Video 2: Dealing with Missing Data7:1478
5.2.14 An Introduction to Text Analytics - Video 8: Conclusion1:4258
7.2.3 An Introduction to Visualization - Video 2: The World Health Organization (WHO)1:2660
6.4.2 Recitation 6 - Video 1: Image Segmentation4:0033
4.4.4 R4. Regression Trees - Video 3: Geographical Predictions5:2251
6.3.9 Predictive Diagnosis - Video 5: The Analytics Edge1:1219
3.2.12 Introduction to Logistical Regression - Video 7: Interpreting the Model8:3389
6.2.3 An Introduction to Clustering - Video 2: Recommendation Systems4:4750
8.4.7 R8. Google AdWords - Video 6: A Greedy Approach10:5937
3.2.1 Introduction to Logistical Regression - Video 1: Replicating Expert Assessment4:40160
3.3.5 The Framingham Heart Study - Video 3: A Logistical Regression Model10:2382
8.4.8 R8. Google AdWords - Video 7: Sensitivity Analysis6:2544
2.3.11 Sports Analytics - Video 6: The Analytics Edge in Sports4:36126
7.2.5 An Introduction to Visualization - Video 3: What is Data Visualization?4:5939
3.4.5 R3. Election Forecasting - Video 4: Logistic Regression Models8:0053
6.4.6 R6. Segmenting Images - Video 4: MRI Image5:3455
4.3.15 Healthcare Costs - Video 8: Predicting Healthcare Cost in R9:2765
2.4.3 R2. Moneyball in the NBA - Video 2: Playoffs and Wins6:56128
4.3.7 Healthcare Costs- Video 4: Error Measures2:2141
3.2.14 Introduction to Logistical Regression - Video 8: The Analytics Edge2:5679
9.2.7 Sports Scheduling - Video 4: Logical Constraints5:3037
5.2.6 An Introduction to Text Analytics - Video 4: Bag of Words6:1838
3.4.6 R3. Election Forecasting - Video 5: Test Set Predictions4:2549
8.4.3 R8. Google AdWords - Video 2: How Online Advertising Works5:5048
4.4.6 R4. Regression Trees - Video 5: Putting it all Together6:3732
4.4.8 R4. Regression Trees - Video 7: Cross-Validation7:1038
8.3.9 Radiation Therapy - Video 5: Sensitivity Analysis3:5130
1.3.12 Working with Data - Video 6: Data Analysis - Plots and Summary Tables7:19530
6.4.9 R6. Segmenting Images - Video 7: Comparing Methods3:4121
4.4.7 R4. Regression Trees - Video 6: The CP Parameter3:1833
7.3.11 Visualization for Law and Order - Video 6: A Heatmap on the United States9:2625
4.1.1 Welcome to Unit 4 - Judge, Jury, and Classifier: An Introduction to Trees0:4672
5.3.5 How IBM Built a Jeopardy Champion - Video 3: Watson's Database and Tools4:2451
5.4.7 R5. Predictive Coding - Video 6: Evaluating the Model4:1028
7.4.4 R7. Visualization - Video 3: Bar Charts in R7:3027
8.4.2 R8. Google AdWords - Video 1: Introduction4:5244
7.4.8 R7. Visualization - Video 7: Using Line Charts Instead5:4718
8.3.7 Radiation Therapy - Video 4: A Head and Neck Case3:1219
7.4.2 R7. Visualization - Video 1: Introduction2:1236
9.2.1 Sports Scheduling - Video 1: Introduction5:2237
6.2.13 An Introduction to Clustering - Video 7: Hierarchical Clustering in R8:3854
9.2.9 Sports Scheduling - Video 5: The Edge4:4020
4.2.1 An Introduction to Trees - Video 1: The Supreme Court5:5284
3.4.2 R3. Election Forecasting - Video 1: Election Prediction4:4176
1.4.7 R1. Understanding Food - Video 6: Summary Tables7:433
8.3.1 An Application of Linear Optimization - Video 1: Introduction to Radiation Therapy5:3038
4.2.7 An Introduction to Trees - Video 4: CART in R12:9070
5.3.1 How IBM Built a Jeopardy Champion - Video 1: IBM Watson5:3054
5.4.6 R5. Predictive Coding - Video 5: Building Models3:8029
8.4.9 R8. Google AdWords - Video 8: Extensions and the Edge6:6029
2.2.5 An Introduction to Linear Regression - Video 3: Multiple Linear Regression3:53239
5.2.1 An Introduction to Text Analytics - Video 1: Twitter2:2288
5.4.5 R5. Predictive Coding - Video 4: Bag of Words2:2831
9.3.3 eHarmony - Video 2: Using Integer Optimization3:3128
1.3.8 Working with Data - Video 4: Loading Data Files8:22846
2.2.1 An Introduction to Linear Regression - Video 1: Predicting the Quality of Wine4:60323
1.4.4 R1. Understanding Food - Video 3: Data Analysis9:138
5.2.2 An Introduction to Text Analytics - Video 2: Text Analytics2:3746
7.4.7 R7. Visualization - Video 6: Scales4:5319
6.4.7 R6. Segmenting Images - Video 5: K-Means Clustering6:3629
1.3.14 Working with Data - Video 7: Saving with Script Files2:46362
5.4.2 R5. Predictive Coding - Video 1: The Story of Enron3:3037
6.3.7 Predictive Diagnosis - Video 4: Understanding Cluster Patterns3:2325
1.3.6 Working with Data - Video 3: Vectors and Data Frames9:291,009
5.3.11 How IBM Built a Jeopardy Champion - Video 6: The Results8:3340
6.3.1 Predictive Diagnosis - Video 1: Heart Attacks2:3333
9.2.3 Sports Scheduling - Video 2: The Optimization Problem8:1837
5.3.9 How IBM Built a Jeopardy Champion - Video 5: How Watson Works - Steps 3 and 45:4328
6.3.3 Predictive Diagnosis - Video 2: The Data5:4731
9.4.1 Welcome to Recitation 9 - Operating Room Scheduling: Making Hospitals Run Smoothly0:2457
1.4.1 Welcome to Recitation 1 - Understanding Food: Nutritional Education with Data0:27477
7.4.3 R7. Visualization - Video 2: Pie Charts3:5425
3.3.7 The Framingham Heart Study - Video 4: Validating the Model2:4556
7.2.1 An Introduction to Visualization - Video 1: The Power of Visualizations3:1778
8.4.1 Welcome to Recitation 8 - Google AdWords: Optimizing Online Advertising0:3831
6.2.7 An Introduction to Clustering - Video 4: Computing Distances6:1943
2.4.4 R2. Moneyball in the NBA - Video 3: Points Scored10:1692
8.2.1 An Introduction to Linear Optimization - Video 1: Introduction3:2587
3.3.3 The Framingham Heart Study - Video 2: Risk Factors4:8071
6.1.1 Welcome to Unit 6 - An Introduction to Clustering0:3954
3.3.1 The Framingham Heart Study - Video 1: Evaluating Risk Factors to Save Lives4:1292
5.4.9 R5. Predictive Coding - Video 8: Predictive Coding Today0:4929
2.1.1 Welcome to Unit 2 - An Introduction to Linear Regression0:45235
9.4.5 R9. Operating Room Scheduling - Video 4: The Solution9:3577
3.4.1 Recitation 3 - Election Forecasting: Predicting the Winner Before Any Votes Are Cast0:2574
6.4.1 Welcome to Recitation 6 - Seeing the Big Picture: Segmenting Images to Create Data0:2850
4.2.9 An Introduction to Trees - Video 5: Random Forests7:4165
7.2.7 An Introduction to Visualization - Video 4: Basic Scatterplots Using ggplot8:2432
2.3.5 Sports Analytics - Video 3: Predicting Runs5:49138
8.2.6 An Introduction to Linear Optimization - Video 4: Solving the Problem6:4048
5.4.1 Welcome to Recitation 5 - Predictive Coding: Bringing Text Analytics to the Courtroom0:2829
2.3.7 Sports Analytics - Video 4: Using the Model to Make Predictions4:18112
2.4.1 R2. Playing Moneyball in the NBA - Welcome to Recitation 20:23212

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