[tutorial] Machine Learning Crash Course

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• ML Concepts
• Introduction to ML (3 min)
• Framing (15 min)
  • Video Lecture
  • Key ML Terminology
  • Check Your Understanding
• Descending into ML (20 min)
  • Video Lecture
  • Linear Regression
  • Training and Loss
  • Check Your Understanding
• Reducing Loss (60 min)
  • Video Lecture
  • An Iterative Approach
  • Gradient Descent
  • Learning Rate
  • Optimizing Learning Rate
  • Stochastic Gradient Descent
  • Playground Exercise
  • Check Your Understanding
• First Steps with TF (65 min)
  • Toolkit
  • Programming Exercises
• Generalization (15 min)
  • Video Lecture
  • Peril of Overfitting
• Training and Test Sets (25 min)
  • Video Lecture
  • Splitting Data
  • Playground Exercise
• Validation Set (35 min)
  • Check Your Intuition
  • Video Lecture
  • Another Partition
  • Programming Exercise
• Representation (35 min)
  • Video Lecture
  • Feature Engineering
  • Qualities of Good Features
  • Cleaning Data
• Feature Crosses (70 min)
  • Video Lecture
  • Encoding Nonlinearity
  • Crossing One-Hot Vectors
  • Playground Exercises
  • Programming Exercise
  • Check Your Understanding
• Regularization: Simplicity (40 min)
  • Playground Exercise: Overcrossing?
  • Video Lecture
  • L2 Regularization
  • Lambda
  • Playground Exercise: L2 Regularization
  • Check Your Understanding
• Logistic Regression (20 min)
  • Video Lecture
  • Calculating a Probability
  • Loss and Regularization
• Classification (90 min)
  • Video Lecture
  • Thresholding
  • True vs. False; Positive vs. Negative
  • Accuracy
  • Precision and Recall
  • Check Your Understanding: Accuracy, Precision, Recall
  • ROC Curve and AUC
  • Check Your Understanding: ROC and AUC
  • Prediction Bias
  • Programming Exercise
• Regularization: Sparsity (20 min)
  • Video Lecture
  • L1 Regularization
  • Playground Exercise
  • Check Your Understanding
• Neural Networks (65 min)
  • Video Lecture
  • Structure
  • Playground Exercises
  • Programming Exercise
• Training Neural Nets (10 min)
  • Video Lecture

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https://developers.google.com/machine-learning/crash-course/ml-intro