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Description

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics

About This Book

• Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization

• Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms

• Ask - and answer - tough questions of your data with robust statistical models, built for a range of datasets

Who This Book Is For

If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning - whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.

What You Will Learn

• Explore how to use different machine learning models to ask different questions of your data

• Learn how to build neural networks using Keras and Theano

• Find out how to write clean and elegant Python code that will optimize the strength of your algorithms

• Discover how to embed your machine learning model in a web application for increased accessibility

• Predict continuous target outcomes using regression analysis

• Uncover hidden patterns and structures in data with clustering

• Organize data using effective pre-processing techniques

• Get to grips with sentiment analysis to delve deeper into textual and social media data

In Detail

Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data - its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success.

Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization.

Style and approach

Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.

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Price Summary

  • We started tracking this book on September 26, 2015.
  • This book was $35.99 when we started tracking it.
  • The price of this book has changed 204 times in the past 3,493 days.
  • The current price of this book is $22.61 last checked 3 hours ago.
  • This lowest price this book has been offered at in the past year is $22.12.
  • The lowest price to date was $12.34 last reached on July 18, 2017.
  • This book has been $12.34 one time since we started tracking it.
  • The highest price to date was $35.99 last reached on September 26, 2015.
  • This book has been $35.99 one time since we started tracking it.

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Additional Info

  • Text-to-Speech: Disabled
  • Lending: Disabled
  • File Size: 188 KB

We last verified the price of this book about 3 hours ago. At that time, the price was $22.61. This price is subject to change. The price displayed on the Amazon.com website at the time of purchase is the price you will pay for this book. Please confirm the price before making any purchases.