Introduction to Machine Learning with Python: A Guide for Data Scientists (Paperback)
Andreas C. Müller, Sarah Guido
- 出版商: O'Reilly
- 出版日期: 2016-11-15
- 定價: $1,980
- 售價: 9.0 折 $1,782
- 語言: 英文
- 頁數: 400
- 裝訂: Paperback
- ISBN: 1449369413
- ISBN-13: 9781449369415
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相關分類:
Python、Machine Learning 機器學習
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相關翻譯:
精通機器學習|使用 Python (Introduction to Machine Learning with Python: A Guide for Data Scientists) (繁中版)
Python 機器學習基礎教程 (Introduction to Machine Learning with Python: A Guide for Data Scientists) (簡中版)
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商品描述
Description
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 Müller 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