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      Introduction to Machine Learning with Python
      A Guide for Data Scientists

      by Andreas C. Müller, Sarah Guido

      🔗 Introduction to Machine Learning with Python ~ CLICK HERE 🔗

      • Language: english
      • Genres: programming, technology, computers, science, textbooks, reference, academic
      • Release date: October 20, 2016
      • Publisher: O’Reilly Media
      • Author: Andreas C. Müller, Sarah Guido
      • Format: paperback, 400 pages
      • First published: June 25, 2015
      • ISBN: 9781449369415 (1449369413)

      About The Book

      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.

      You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller 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, you’ll learn:

      Fundamental concepts and applications of machine learning

      Advantages and shortcomings of widely used machine learning algorithms

      How to represent data processed by machine learning, including which data aspects to focus on

      Advanced methods for model evaluation and parameter tuning

      The concept of pipelines for chaining models and encapsulating your workflow

      Methods for working with text data, including text-specific processing techniques

      Suggestions for improving your machine learning and data science skills

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