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Python Machine Learning - Second Edition - 2nd Edition by Sebastian Raschka & Vahid Mirjalili (Paperback)

Name: Python Machine Learning - Second Edition - 2nd Edition by Sebastian Raschka & Vahid Mirjalili (Paperback)
Brand: Packt Publishing
SKU: 87745812
Price: 43.99 USD
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Details

Highlights

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.
Author(s): Sebastian Raschka & Vahid Mirjalili
622 Pages
Computers, Languages

Description

About the Book

This second edition of Python Machine Learning by Sebastian Raschka is for developers and data scientists looking for a practical approach to machine learning and deep learning. In this updated edition, you'll explore the machine learning process using Python and the latest open source technologies, including scikit-learn and TensorFlow 1.x.

Book Synopsis

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.

Key Features

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

Book 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Publisher's Note: This edition from 2017 is outdated and is not compatible with TensorFlow 2 or any of the most recent updates to Python libraries.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.

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

Who this book is 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.

Specifications

Dimensions (Overall): 9.3 Inches (H) x 7.4 Inches (W) x 1.3 Inches (D)

Weight: 2.4 Pounds

Suggested Age: 22 Years and Up

Number of Pages: 622

Genre: Computers

Sub-Genre: Languages

Publisher: Packt Publishing

Theme: Python

Format: Paperback

Author: Sebastian Raschka & Vahid Mirjalili

Language: English

Street Date: September 15, 2017

TCIN: 87745812

UPC: 9781787125933

Item Number (DPCI): 247-26-6713

Origin: Made in the USA or Imported

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Shipping & Returns

Shipping details

Estimated ship dimensions: 1.3 inches length x 7.4 inches width x 9.3 inches height

Estimated ship weight: 2.4 pounds

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