Liu Python Machine Learning By Example

The easiest way to get into machine learning
1. Auflage 2017
ISBN: 978-1-78355-312-9
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 254 Seiten

No detailed description available for "Python Machine Learning By Example".

Autoren/Hrsg.

Liu, Yuxi (Hayden)

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Table of Contents - Getting Started with Python and Machine Learning
- Exploring the 20 newsgroups data set
- Spam email detection with Naïve Bayes

- News topic classification with Support Vector Machine
- Click-through prediction with tree-based algorithms
- Click-through rate prediction with logistic regression

- Stock prices prediction with regression algorithms

- Best practices

Über Autor(innen)

Liu Yuxi (Hayden):

Yuxi (Hayden) Liu was a Machine Learning Software Engineer at Google. With a wealth of experience from his tenure as a machine learning scientist, he has applied his expertise across data-driven domains and applied his ML expertise in computational advertising, cybersecurity, and information retrieval. He is the author of a series of influential machine learning books and an education enthusiast. His debut book, also the first edition of Python Machine Learning by Example, ranked the #1 bestseller in Amazon and has been translated into many different languages.