Liu / Unknown Python Machine Learning By Example.

Implement machine learning algorithms and techniques to build intelligent systems
2. Auflage 2019
ISBN: 978-1-78961-755-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 382 Seiten

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

Autoren/Hrsg.

Liu, Yuxi (Hayden)

Unknown,

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Table of Contents - Getting Started with Machine Learning and Python
- Exploring the 20 Newsgroups Dataset with Text Analysis Techniques

- Mining the 20 Newsgroups Dataset with Clustering and Topic Modeling Algorithms
- Detecting Spam Email with Naive Bayes
- Classifying News Topic with Support Vector Machine
- Predicting Online Ads Click-through with Tree-Based Algorithms
- Predicting Online Ads Click-through with Logistic Regression
- Scaling Up Prediction to Terabyte Click Logs
- Stock Price Prediction with Regression Algorithms
- Machine Learning 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.