Лекция 5. Illustrated Discussion of Some Machine Learning and Data Analysis Methods

  1. 00:19Machine Learning Tasks and Categories
  2. 05:27Suggested Books and Courses
  3. 07:46ML Project Pipeline
  4. 18:20Key Concepts
  5. 20:16Bias-Variance Trade-off
  6. 23:58Training Artificial Networks and Deep Learning
  7. 29:52Data Analysis Practice