Sale!

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

Amazon.com Price:  $24.18 (as of 22/04/2019 22:25 PST- Details)

Categories: , , , , , , , , , , , , ,

Description

Machine learning has change into an integral a 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, whilst a beginner, this book will teach you practical how one can build your own machine learning solutions. With all of 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 Müller and Sarah Guido focus on the practical aspects of the usage of machine learning algorithms, moderately than the math in the back of them. Familiarity with the NumPy and matplotlib libraries will let 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 bettering your machine learning and data science skills

Related products

Home » Shop » Books » Specialty Boutique » New, Used and Rental Textbooks » Computer Science » AI and Machine Learning » Natural Language Processing » Introduction to Machine Learning with Python: A Guide for Data Scientists

Recent Products