Introduction to Machine Learning with Python - Info and Reading Options
A Guide for Data Scientists
By Andreas C. Mueller and Sarah Guido
"Introduction to Machine Learning with Python" is published by O'Reilly Media in September 25, 2016 - Sebastopol, CA and it has 376 pages.
“Introduction to Machine Learning with Python” Metadata:
- Title: ➤ Introduction to Machine Learning with Python
- Authors: Andreas C. MuellerSarah Guido
- Number of Pages: 376
- Publisher: O'Reilly Media
- Publish Date: September 25, 2016
- Publish Location: Sebastopol, CA
“Introduction to Machine Learning with Python” Subjects and Themes:
- Subjects: ➤ Programming languages (Electronic computers) - Python (Computer program language) - Data mining - Machine learning - Python (computer program language) - Data Mining - Apprentissage automatique - Python (Langage de programmation) - Exploration de données (Informatique) - COMPUTERS - Programming Languages - Python - Programming languages (electronic computers) - Qa76.73.p98 - Maschinelles Lernen
Edition Identifiers:
- The Open Library ID: OL25935496M - OL17357597W
- Online Computer Library Center (OCLC) ID: 960211579 - 895728667
- ISBN-13: 9781449369415
- ISBN-10: 1449369413
- All ISBNs: 1449369413 - 9781449369415
AI-generated Review of “Introduction to Machine Learning with Python”:
"Introduction to Machine Learning with Python" Description:
Open Data:
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. --
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