Machine Learning Crash Course

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What Will You Learn?

Learn and apply fundamental machine learning concepts with the Crash Course, get real-world experience with the companion Kaggle competition, or visit Learn with Google AI to explore the full library of training resources.

About This Course

Provider: Google Developers
Format: Online
Duration: 15 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: Upon completing this machine learning crash course, participants will be able to apply fundamental ML concepts, implement popular algorithms, preprocess data and build basic neural networks
Course Prerequisites: Understanding of programming languages and must be comfortable with variables, linear equations, graphs of functions, histograms, and statistical means.
Assessment and Certification: NA
Instructor: Google Developers
Key Topics: Machine Learning, Machine Learning Engineering, Neural Networks, TensorFlow APIs
Topic Covered: 
  2. - Introduction to Machine Learning
  3. - Descending into ML
  4. - Reducing Loss
  5. - Introduction to TensorFlow
  6. - Generalization
  7. - Training and Test Sets
  8. - Validation Set
  9. - Representation
  10. - Feature Crosses
  11. - Regularization for Simplicity
  12. - Logistic Regression
  13. - Classification
  14. - Regularization for Sparsity
  15. - Neural Networks
  16. - Training Neural Networks
  17. - Multi-Class Neural Networks
  18. - Embeddings
  19. - Production ML Systems
  20. - Static vs. Dynamic Training
  21. - Static vs. Dynamic Inference
  22. - Data Dependencies

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Course Tags
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