EAN: 9781449369415

INTRODUCTION TO MACHINE LEARNING WITH PYTHON - ...

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 Mÿller
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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