Machine Learning Crash Course with TensorFlow APIs
Google's fast-paced, practical introduction to machine learning
START CRASH COURSE VIEW PREREQUISITES 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.
40+ 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. How does machine learning differ from traditional programming?
What is loss, and how do I measure it?
How does gradient descent work?
How do I determine whether my model is effective?
How do I represent my data so that a program can learn from it?
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.
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https://developers.google.com/machine-learning/crash-course/ml-intro
https://developers.google.com/machine-learning/crash-course/