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Machine Learning Bookcamp

Build a portfolio of real-life projects
by Alexey Grigorev
The cover of Machine Learning Bookcamp
4.63/5 on Goodreads
ISBN 9781617296819
Published in 2021
472 pages

Description

Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application.

In Machine Learning Bookcamp you will:

  • Collect and clean data for training models
  • Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow
  • Apply ML to complex datasets with images
  • Deploy ML models to a production-ready environment

The only way to learn is to practice! In

Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.