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5 896 vidéos, +2 320 000 abonnés
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vues
7.3.7 Visualization for Law and Order - Video 4: A Heatmap
9:50
43
2.2.7 An Introduction to Linear Regression - Video 4: Linear Regression in R
8:27
243
7.4.6 R7. Visualization - Video 5: World Maps in R
11:38
77
3.3.9 The Framingham Heart Study - Video 5: Interventions
1:45
53
7.3.9 Visualization for Law and Order - Video 5: A Geographical Hot Spot Map
8:25
43
6.4.4 R6. Segmenting Images - Video 3: Hierarchical Clustering
7:43
38
9.1.1 Welcome to Unit 9: An Introduction to Integer Optimization
0:41
140
3.4.3 R3. Election Forecasting - Video 2: Dealing with Missing Data
7:14
78
5.2.14 An Introduction to Text Analytics - Video 8: Conclusion
1:42
58
7.2.3 An Introduction to Visualization - Video 2: The World Health Organization (WHO)
1:26
60
6.4.2 Recitation 6 - Video 1: Image Segmentation
4:00
33
4.4.4 R4. Regression Trees - Video 3: Geographical Predictions
5:22
51
6.3.9 Predictive Diagnosis - Video 5: The Analytics Edge
1:12
19
3.2.12 Introduction to Logistical Regression - Video 7: Interpreting the Model
8:33
89
6.2.3 An Introduction to Clustering - Video 2: Recommendation Systems
4:47
50
8.4.7 R8. Google AdWords - Video 6: A Greedy Approach
10:59
37
3.2.1 Introduction to Logistical Regression - Video 1: Replicating Expert Assessment
4:40
160
3.3.5 The Framingham Heart Study - Video 3: A Logistical Regression Model
10:23
82
8.4.8 R8. Google AdWords - Video 7: Sensitivity Analysis
6:25
44
2.3.11 Sports Analytics - Video 6: The Analytics Edge in Sports
4:36
126
7.2.5 An Introduction to Visualization - Video 3: What is Data Visualization?
4:59
39
3.4.5 R3. Election Forecasting - Video 4: Logistic Regression Models
8:00
53
6.4.6 R6. Segmenting Images - Video 4: MRI Image
5:34
55
4.3.15 Healthcare Costs - Video 8: Predicting Healthcare Cost in R
9:27
65
2.4.3 R2. Moneyball in the NBA - Video 2: Playoffs and Wins
6:56
128
4.3.7 Healthcare Costs- Video 4: Error Measures
2:21
41
3.2.14 Introduction to Logistical Regression - Video 8: The Analytics Edge
2:56
79
9.2.7 Sports Scheduling - Video 4: Logical Constraints
5:30
37
5.2.6 An Introduction to Text Analytics - Video 4: Bag of Words
6:18
38
3.4.6 R3. Election Forecasting - Video 5: Test Set Predictions
4:25
49
8.4.3 R8. Google AdWords - Video 2: How Online Advertising Works
5:50
48
4.4.6 R4. Regression Trees - Video 5: Putting it all Together
6:37
32
4.4.8 R4. Regression Trees - Video 7: Cross-Validation
7:10
38
8.3.9 Radiation Therapy - Video 5: Sensitivity Analysis
3:51
30
1.3.12 Working with Data - Video 6: Data Analysis - Plots and Summary Tables
7:19
530
6.4.9 R6. Segmenting Images - Video 7: Comparing Methods
3:41
21
4.4.7 R4. Regression Trees - Video 6: The CP Parameter
3:18
33
7.3.11 Visualization for Law and Order - Video 6: A Heatmap on the United States
9:26
25
4.1.1 Welcome to Unit 4 - Judge, Jury, and Classifier: An Introduction to Trees
0:46
72
5.3.5 How IBM Built a Jeopardy Champion - Video 3: Watson's Database and Tools
4:24
51
5.4.7 R5. Predictive Coding - Video 6: Evaluating the Model
4:10
28
7.4.4 R7. Visualization - Video 3: Bar Charts in R
7:30
27
8.4.2 R8. Google AdWords - Video 1: Introduction
4:52
44
7.4.8 R7. Visualization - Video 7: Using Line Charts Instead
5:47
18
8.3.7 Radiation Therapy - Video 4: A Head and Neck Case
3:12
19
7.4.2 R7. Visualization - Video 1: Introduction
2:12
36
9.2.1 Sports Scheduling - Video 1: Introduction
5:22
37
6.2.13 An Introduction to Clustering - Video 7: Hierarchical Clustering in R
8:38
54
9.2.9 Sports Scheduling - Video 5: The Edge
4:40
20
4.2.1 An Introduction to Trees - Video 1: The Supreme Court
5:52
84
3.4.2 R3. Election Forecasting - Video 1: Election Prediction
4:41
76
1.4.7 R1. Understanding Food - Video 6: Summary Tables
7:43
3
8.3.1 An Application of Linear Optimization - Video 1: Introduction to Radiation Therapy
5:30
38
4.2.7 An Introduction to Trees - Video 4: CART in R
12:90
70
5.3.1 How IBM Built a Jeopardy Champion - Video 1: IBM Watson
5:30
54
5.4.6 R5. Predictive Coding - Video 5: Building Models
3:80
29
8.4.9 R8. Google AdWords - Video 8: Extensions and the Edge
6:60
29
2.2.5 An Introduction to Linear Regression - Video 3: Multiple Linear Regression
3:53
239
5.2.1 An Introduction to Text Analytics - Video 1: Twitter
2:22
88
5.4.5 R5. Predictive Coding - Video 4: Bag of Words
2:28
31
9.3.3 eHarmony - Video 2: Using Integer Optimization
3:31
28
1.3.8 Working with Data - Video 4: Loading Data Files
8:22
846
2.2.1 An Introduction to Linear Regression - Video 1: Predicting the Quality of Wine
4:60
323
1.4.4 R1. Understanding Food - Video 3: Data Analysis
9:13
8
5.2.2 An Introduction to Text Analytics - Video 2: Text Analytics
2:37
46
7.4.7 R7. Visualization - Video 6: Scales
4:53
19
6.4.7 R6. Segmenting Images - Video 5: K-Means Clustering
6:36
29
1.3.14 Working with Data - Video 7: Saving with Script Files
2:46
362
5.4.2 R5. Predictive Coding - Video 1: The Story of Enron
3:30
37
6.3.7 Predictive Diagnosis - Video 4: Understanding Cluster Patterns
3:23
25
1.3.6 Working with Data - Video 3: Vectors and Data Frames
9:29
1 009
5.3.11 How IBM Built a Jeopardy Champion - Video 6: The Results
8:33
40
6.3.1 Predictive Diagnosis - Video 1: Heart Attacks
2:33
33
9.2.3 Sports Scheduling - Video 2: The Optimization Problem
8:18
37
5.3.9 How IBM Built a Jeopardy Champion - Video 5: How Watson Works - Steps 3 and 4
5:43
28
6.3.3 Predictive Diagnosis - Video 2: The Data
5:47
31
9.4.1 Welcome to Recitation 9 - Operating Room Scheduling: Making Hospitals Run Smoothly
0:24
57
1.4.1 Welcome to Recitation 1 - Understanding Food: Nutritional Education with Data
0:27
477
7.4.3 R7. Visualization - Video 2: Pie Charts
3:54
25
3.3.7 The Framingham Heart Study - Video 4: Validating the Model
2:45
56
7.2.1 An Introduction to Visualization - Video 1: The Power of Visualizations
3:17
78
8.4.1 Welcome to Recitation 8 - Google AdWords: Optimizing Online Advertising
0:38
31
6.2.7 An Introduction to Clustering - Video 4: Computing Distances
6:19
43
2.4.4 R2. Moneyball in the NBA - Video 3: Points Scored
10:16
92
8.2.1 An Introduction to Linear Optimization - Video 1: Introduction
3:25
87
3.3.3 The Framingham Heart Study - Video 2: Risk Factors
4:80
71
6.1.1 Welcome to Unit 6 - An Introduction to Clustering
0:39
54
3.3.1 The Framingham Heart Study - Video 1: Evaluating Risk Factors to Save Lives
4:12
92
5.4.9 R5. Predictive Coding - Video 8: Predictive Coding Today
0:49
29
2.1.1 Welcome to Unit 2 - An Introduction to Linear Regression
0:45
235
9.4.5 R9. Operating Room Scheduling - Video 4: The Solution
9:35
77
3.4.1 Recitation 3 - Election Forecasting: Predicting the Winner Before Any Votes Are Cast
0:25
74
6.4.1 Welcome to Recitation 6 - Seeing the Big Picture: Segmenting Images to Create Data
0:28
50
4.2.9 An Introduction to Trees - Video 5: Random Forests
7:41
65
7.2.7 An Introduction to Visualization - Video 4: Basic Scatterplots Using ggplot
8:24
32
2.3.5 Sports Analytics - Video 3: Predicting Runs
5:49
138
8.2.6 An Introduction to Linear Optimization - Video 4: Solving the Problem
6:40
48
5.4.1 Welcome to Recitation 5 - Predictive Coding: Bringing Text Analytics to the Courtroom
0:28
29
2.3.7 Sports Analytics - Video 4: Using the Model to Make Predictions
4:18
112
2.4.1 R2. Playing Moneyball in the NBA - Welcome to Recitation 2
0:23
212
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