About The E-Book
- Title – Hands-on Machine Learning with Scikit-Learn and TensorFlow
- Author – Lynn Beighly
- Total Pages – 510 Pages
- Total Chapters – 14 Chapters
- E-Book Size – 31 MBs
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know little about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
Using concrete examples, minimal theory, and two production-ready Python frameworks, Scikit Learn and Tensor Flow author Aurélien Géron helps you understand the concepts and tools for building intelligent systems. You’ll learn various techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, you need programming experience to start.
Book Contents
- What is Machine Learning?
- Why Use Machine Learning?
- Types of Machine Learning
- Data Mismatch
- And More
Machine Learning – Example Pages



About the Author
Aurélien Géron is a Machine Learning consultant. A former Googler, he led the You‐
Tube video classification team from 2013 to 2016. He was also a founder and CTO of
We first from 2002 to 2012, a leading Wireless ISP in France; and a founder and CTO
of Polyconseil in 2001, the firm that now manages the electric car-sharing service
Autolib’.
Before this, he worked as an engineer in a variety of domains: finance (JP Morgan and
Société Générale), defense (Canada’s DOD), and healthcare (blood transfusion). He
published a few technical books (on C++, WiFi, and internet architectures), and was
a Computer Science lecturer at a French engineering school.
Thank You !!
GIPHY App Key not set. Please check settings