Language
  • Python 3
Reading time
  • Approximately 32 days
What you will learn
  • Machine Learning and AI
Author
  • Nishant Shukla
Published
  • 1¬†year, 6¬†months ago
Packages you will be introduced to
  • numpy
  • matplotlib
  • tensorflow

Official description

Being able to make near-real-time decisions is becoming increasingly crucial. To succeed, we need machine learning systems that can turn massive amounts of data into valuable insights. But when you're just starting out in the data science field, how do you get started creating machine learning applications? The answer is TensorFlow, a new open source machine learning library from Google. The TensorFlow library can take your high level designs and turn them into the low level mathematical operations required by machine learning algorithms.

Machine Learning with TensorFlow teaches readers about machine learning algorithms and how to implement solutions with TensorFlow. It starts with an overview of machine learning concepts and moves on to the essentials needed to begin using TensorFlow. Each chapter zooms into a prominent example of machine learning. Readers can cover them all to master the basics or skip around to cater to their needs. By the end of this book, readers will be able to solve classification, clustering, regression, and prediction problems in the real world.

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

Reviews

Write a review

Read this book? Comment on this book's GitHub issue page and share what you liked and what you didn't like about it. Your GitHub comment will show up as a review here. See an example.