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:
- - Introduction to Machine Learning
- - Descending into ML
- - Reducing Loss
- - Introduction to TensorFlow
- - Generalization
- - Training and Test Sets
- - Validation Set
- - Representation
- - Feature Crosses
- - Regularization for Simplicity
- - Logistic Regression
- - Classification
- - Regularization for Sparsity
- - Neural Networks
- - Training Neural Networks
- - Multi-Class Neural Networks
- - Embeddings
- - Production ML Systems
- - Static vs. Dynamic Training
- - Static vs. Dynamic Inference
- - Data Dependencies
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