Introduction to Machine Learning with Python: A Guide for Data Scientists

By | February 19, 2018
Introduction to Machine Learning with Python: A Guide for Data Scientists Author Andreas C. Müller
ISBN-10 1449369413
ISBN-13 9781449369415
Year 2016-10-21
Pages 394
Language English
Publisher O’Reilly Media
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Machine learning has become an integral part of many commercial applications and research projects but this field is not exclusive to large companies with extensive research teams If you use Python even as a beginner this book will teach you practical ways to build your own machine learning solutions With all the data available today machine learning applications are limited only by your imagination Youll learn the steps necessary to create a successful machine learning application with Python and the scikit learn library Authors Andreas Mller and Sarah Guido focus on the practical aspects of using machine learning algorithms rather than the math behind them Familiarity with the NumPy and matplotlib libraries will help you get even more from this book With this book youll learn Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data including text specific processing techniquesSuggestions for improving your machine learning and data science skills

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