Kane Hands-On Data Science and Python Machine Learning

Perform data mining and machine learning efficiently using Python and Spark
1. Auflage 2017
ISBN: 978-1-78728-022-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 420 Seiten

No detailed description available for "Hands-On Data Science and Python Machine Learning".

Autoren/Hrsg.

Kane, Frank

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie

Inhaltsverzeichnis

Table of Contents - Getting Started
- Statistics and Probability Refresher and Python Practice
- Matplotlib and Advanced Probability Concepts
- Predictive Models
- Machine Learning with Python
- Recommender Systems
- More Data Mining and Machine Learning Techniques
- Dealing with Real-World Data
- Apache Spark: Machine Learning on Big Data
- Testing and Experimental Design

Über Autor(innen)

Kane Frank:

Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.