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Learn Machine
Learning by Making
Projects
With Machine Learning Bookcamp. Take
42% off by entering slgrigorev into the
discount code box at checkout at
manning.com.
Machine learning is an analysis
technique for predicting trends
and relationships based on
historical data.
By practicing the most
important algorithms and
techniques, you can quickly gain
a footing in this important area.
That’s exactly what you’re going
to do in this book.
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
and text analysis, each new project
builds on what you’ve learned in
previous chapters.
In Machine Learning Bookcamp
you’ll learn the essentials of
machine learning by completing a
carefully designed set of real-
world projects. When you’re done
working through these fun and
informative projects, you’ll have a
comprehensive machine learning
skill set you can apply to practical
on-the-job problems.
What people are saying
about the book:
An amazing
introduction to
learning machine
learning by doing
projects.
-Joseph Perenia
This book not only explains how to
use the different machine-learning
algorithms with real-life examples,
but also provides very clear
explanations on how to measure
the quality of the predictors.
-Monica Guimaraes
About the author:
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.
Take 42% off Machine Learning
Bookcamp by entering slgrigorev into
the discount code box at checkout at
manning.com.
If you want to learn more about the
book, you can check it out on our
browser-based liveBook reader here.

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Learn ML by Building Python Projects

  • 1. Learn Machine Learning by Making Projects With Machine Learning Bookcamp. Take 42% off by entering slgrigorev into the discount code box at checkout at manning.com.
  • 2. Machine learning is an analysis technique for predicting trends and relationships based on historical data. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. That’s exactly what you’re going to do in this book.
  • 3. 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 and text analysis, each new project builds on what you’ve learned in previous chapters.
  • 4. In Machine Learning Bookcamp you’ll learn the essentials of machine learning by completing a carefully designed set of real- world projects. When you’re done working through these fun and informative projects, you’ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems.
  • 5. What people are saying about the book: An amazing introduction to learning machine learning by doing projects. -Joseph Perenia This book not only explains how to use the different machine-learning algorithms with real-life examples, but also provides very clear explanations on how to measure the quality of the predictors. -Monica Guimaraes
  • 6. About the author: 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.
  • 7. Take 42% off Machine Learning Bookcamp by entering slgrigorev into the discount code box at checkout at manning.com. If you want to learn more about the book, you can check it out on our browser-based liveBook reader here.