1.01 Introduction (20 min.)
1.02 Regression (14 min.)
1.03 Algorithms (14 min.)
1.04 Why Use Machine Learning? (18 min.)
1.05 Predicting Latitude & Longitude from a UWI (9 min.)
1.06 Measuring Performance (24 min.)
1.07 Cross-Validation (12 min.)
1.08 Noise, Bias and Missing Information (18 min.)
1.09 Sample Size (10 min.)
Chapter 2 – Building and Interpreting Models
2.01 Feature Engineering (12 min.)
2.02 Feature Selection (10 min.)
2.03 Model Interpretation (21 min.)
2.04 Liquids Rich Montney Case Study (23 min.)
2.05 Exploratory Data Analysis (27 min.)