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Key benefits

• 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

Description

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.

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

What do you get with Print?

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Download this book in EPUB and PDF formats

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Amazon verified reviews

tauco Jul 03, 2016

Very well explained Step by step. Easy to follow

Amazon Verified review

Keith Lancaster Mar 12, 2016

As with many other reviewers, I have numerous books on Python machine learning. I purchased this book this morning and can already say that it is by far the best that I have encountered. Worth every cent!

BookwormMin Jul 01, 2017

best book on practical machine learning, including building API, having a server, and of course intro to all the algorithm as well as pre-processing.

Anonymous123 Jan 22, 2016

Best book on ML/Python - I know, because I read them all! :)

Amazonian Drone Jan 01, 2016

I have nothing to add that hasn't already been written. But, I had to input a few words to confer a 5 star rating.I only add that I've been following Sebastian's blog as a reference for some time, now. So, it was only logical to buy the definitive sci-kit source compendium for reference.

Python Machine Learning: Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial

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