MIT

5.2.4 Video 3: Creating the Dataset (M-I-T)

5.2.6 Video 4: Bag of Words (M-I-T)

5.2.8 Video 5: Pre-Processing in R (M-I-T)

5.3.1 Video 1: IBM Watson (M-I-T)

5.3.11 Video 6: The Results (M-I-T)

5.3.3 Video 2: The Game of Jeopardy (M-I-T)

5.3.5 Video 3: Watson's Database and Tools (M-I-T)

5.3.7 Video 4: How Watson Works – Steps 1 and 2 (M-I-T)

5.3.9 Video 5: How Watson Works – Steps 3 and 4 (M-I-T)

5.4.1 Welcome to Recitation 5 (M-I-T)

5.4.2 Video 1: The Story of Enron (M-I-T)

5.4.3 Video 2: The Data (M-I-T)

5.4.4 Video 3: Pre-Processing (M-I-T)

5.4.5 Video 4: Bag of Words (M-I-T)

5.4.6 Video 5: Building Models (M-I-T)

5.4.7 Video 6: Evaluating the Model (M-I-T)

5.4.8 Video 7: The ROC Curve (M-I-T)

5.4.9 Video 8: Predictive Coding Today (M-I-T)

6.1.1 Welcome to Unit 6 (M-I-T)

6.2.1 Video 1: Introduction to Netflix (M-I-T)

6.2.11 Video 6: Getting the Data (M-I-T)

6.2.13 Video 7: Hierarchical Clustering in R (M-I-T)

6.2.15 Video 8: The Analytics Edge of Recommendation Systems (M-I-T)

6.2.3 Video 2: Recommendation Systems (M-I-T)

6.2.5 Video 3: Movie Data and Clustering (M-I-T)