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Key benefits

Second edition of the bestselling book on Machine Learning

A practical approach to key frameworks in data science, machine learning, and deep learning

Use the most powerful Python libraries to implement machine learning and deep learning

Get to know the best practices to improve and optimize your machine learning systems and algorithms

Description

Publisher's Note: This edition from 2017 is outdated and is not compatible with TensorFlow 2 or any of the most recent updates to Python libraries. A new third edition, updated for 2020 and featuring TensorFlow 2 and the latest in scikit-learn, reinforcement learning, and GANs, has now been published. Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka’s bestselling book, Python Machine Learning. Using Python's open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow 1.x deep learning library. The scikit-learn code has also been fully updated to v0.18.1 to include improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili’s unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you’ll be ready to meet the new data analysis opportunities. If you’ve read the first edition of this book, you’ll be delighted to find a balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You’ll be able to learn and work with TensorFlow 1.x more deeply than ever before, and get essential coverage of the Keras neural network library, along with updates to scikit-learn 0.18.1.

Who is this book for?

If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data.

What you will learn

Understand the key frameworks in data science, machine learning, and deep learning

Harness the power of the latest Python open source libraries in machine learning

Explore machine learning techniques using challenging real-world data

Master deep neural network implementation using the TensorFlow 1.x library

Learn the mechanics of classification algorithms to implement the best tool for the job

Predict continuous target outcomes using regression analysis

Uncover hidden patterns and structures in data with clustering

Delve deeper into textual and social media data using sentiment analysis

What do you get with Print?

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Download this book in EPUB and PDF formats

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Frequently bought together

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Amazon verified reviews

anil Nov 16, 2022

Good for reference

Amazon Verified review

Satyakrishnan May 03, 2022

This is one of the best beginner's books out there. If anyone wants to start ML they have to go through this book, although the DL part of the book uses TF version 1 which is not used anymore. You will also learn a lot of numpy, pandas and matplotlib features

Gasso Wilson Mwaluseke Aug 21, 2021

I am using theis book to teach data science

Hexin Bai Oct 01, 2020

The author just copy the code from github. Ironically, the explanation on the github tutorial is even better than this book. This does NOT worth a penny.

Soren Aug 15, 2020

This is about Pakt publications: pakt publications’ print quality is horrible. It is VERY respectless to the readers. I will never buy from then until they realize that with such greed to save from costs you disrespect scientific community. Shame on you!!!

Python Machine Learning, Second Edition: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow , Second Edition

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