Machine Learning Crash Course
with TensorFlow APIs
Google's fast-paced, practical introduction to machine learning
A self-study guide for aspiring machine learning practitioners
Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
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30+ exercises -
25 lessons -
15 hours -
Lectures from Google researchers -
Real-world case studies -
Interactive visualizations of algorithms in action
Some of the questions answered in this course
Learn best practices from Google experts on key machine learning concepts.
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How does machine learning differ from traditional programming?
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What is loss, and how do I measure it?
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How does gradient descent work?
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How do I determine whether my model is effective?
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How do I represent my data so that a program can learn from it?
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How do I build a deep neural network?
Ready to start practicing machine learning?
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.