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Machine Learning Bookcamp

Build a portfolio of real-life projects

Published by Manning
Distributed by Simon & Schuster

In Machine Learning Bookcamp you’ll learn the essentials of machine learning by completing a carefully designed set of real-world projects.

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.

In Machine Learning Bookcamp you’ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Taking you from the basics of machine learning to complex applications such as image and text analysis, each new project builds on what you’ve learned in previous chapters. By the end of the bookcamp, you’ll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Alexey Grigorev has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning.

  • Publisher: Manning (November 23, 2021)
  • Length: 475 pages
  • ISBN13: 9781617296819