Free Machine Learning Course by Google

Kanan Rahimov
Dec 26, 2018 · 1 min read
Photo by Franck V. on Unsplash

Hello everyone! In this post I want to talk about free machine learning course by Google. If you follow tech news you probably already know about it.

It is called Machine Learning Crash Course (with TensorFlow API) and includes:

  • 40+ exercises
  • 25 lessons
  • 15 hours duration
  • Lectures from Google researches

There is also prerequisites for the course:

  • Mastery of intro-level algebra
  • Proficiency in programming basics, and some experience coding in Python

Content

ML Concepts

  • Introduction
  • Framing
  • Descending into ML
  • Reducing Loss
  • First Steps with TF
  • Generalization
  • Training and Test Sets
  • Validation
  • Representation
  • Feature Crosses
  • Regularization: Simplicity
  • Logistic Regression
  • Classification
  • Regularization: Sparsity
  • Introduction to Neural Nets
  • Training Neural Nets
  • Multi-Class Neural Nets
  • Embeddings

ML Engineering

  • Production ML Systems
  • Static vs. Dynamic Training
  • Static vs. Dynamic Inference

ML Real World Examples

  • Cancer Prediction
  • 18th Century Literature
  • Real-World Guidelines

Link to the crash course: http://bit.ly/2EKf2WN

Origin post and FAQ you can read from Google Developers Blog’s post: http://bit.ly/2AiulCP

By the way. You can check other AI & ML related courses from Google visiting this link: http://bit.ly/2Rk8XqD

Thanks for reading. Please do not forget to clap and follow :)

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CoderVlogger

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Kanan Rahimov

Written by

Software Engineer. Author @CoderVlogger. Check https://kenanbek.github.io/ for more posts and updates.

CoderVlogger

Senior Coder, Junior Vlogger

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