Google ML Course

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

Main topics

• What is ML
• ML terminology
• Hyperparameters
• Data in ML
• Models
  • Linear regression
  • Linear logistic regression
  • Classification
  • Multi-class classification
    • SoftMax
• Metrics
  • Bias
  • Losses
  • Precision and recall
• Reducing loss
  • Batching in ML
  • Redundancy
  • Variations of gradient descent
  • Backpropagation
• Generalisation
  • Overfitting
  • Splitting the dataset
  • Regularisation
• Neural networks
• Embeddings

Definitions

• Convex problems
• Batch