Natingga / Toth Data Science Algorithms in a Week

Top 7 algorithms for scientific computing, data analysis, and machine learning
2. Auflage 2018
ISBN: 978-1-78980-096-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 214 Seiten

No detailed description available for "Data Science Algorithms in a Week".

Autoren/Hrsg.

Natingga, David

Toth, David

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - Classification using K Nearest Neighbors
- Naive Bayes
- Decision Trees
- Random Forests
- Clustering into K clusters
- Regression
- Time Series Analysis
- Python Reference
- Statistics
- Glossary of Algorithms and Methods in Data Science

Über Autor(innen)

Natingga David:

Dvid Natingga graduated with a master's in engineering in 2014 from Imperial College London, specializing in artificial intelligence. In 2011, he worked at Infosys Labs in Bangalore, India, undertaking research into the optimization of machine learning algorithms. In 2012 and 2013, while at Palantir Technologies in USA, he developed algorithms for big data. In 2014, while working as a data scientist at Pact Coffee, London, he created an algorithm suggesting products based on the taste references of customers and the structures of the coffees. In order to use pure mathematics to advance the field of AI, he is a PhD candidate in Computability Theory at the University of Leeds, UK. In 2016, he spent 8 months at Japan's Advanced Institute of Science and Technology as a research visitor.