Sarah Guido
人物简介:
Andreas Mueller is a lecturer at the Data Science Institute at Columbia University and author of the O'Reilly book "Introduction to machine learning with Python", describing a practical approach to machine learning with python and scikit-learn. He is one of the core developers of the scikit-learn machine learning library, and has been co-maintaining it for several years. He is also a Software Carpentry instructor. In the past, Andreas Mueller worked at the NYU Center for Data Science on open source and open science, and as Machine Learning Scientist at Amazon
Introduction to Machine Learning with Python书籍相关信息
- ISBN:9781449369415
- 作者:Sarah Guido / Andreas C. Mueller
- 出版社:O'Reilly Media
- 出版时间:2016-11-15
- 页数:398
- 价格:USD 49.99
- 纸张:暂无纸张
- 装帧:Paperback
- 开本:暂无开本
- 语言:暂无语言
- 适合人群:Data Scientists, Software Engineers, Machine Learning Engineers, Python Developers, Data Analysts, Researchers, Academics, Students in Computer Science or related fields, Professionals looking to transition into AI and Machine Learning
- TAG:Machine Learning / Data Science / Algorithms / AI / Deep Learning / Neural Networks / Python Programming / Classification / Regression
- 豆瓣评分:8.9
- 更新时间:2025-05-20 21:11:36
内容简介:
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.