Bonaccorso Machine Learning Algorithms

Popular algorithms for data science and machine learning
2. Auflage 2018
ISBN: 978-1-78934-548-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 522 Seiten

No detailed description available for "Machine Learning Algorithms".

Autoren/Hrsg.

Giuseppe Bonaccorso, Bonaccorso

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur

Inhaltsverzeichnis

Table of Contents - A Gentle Introduction to Machine Learning
- Important Elements in Machine Learning
- Feature Selection and Feature Engineering
- Regression Algorithms
- Linear Classification Algorithms
- Naive Bayes and Discriminant Analysis
- Support Vector Machines
- Decision Trees and Ensemble Learning
- Clustering Fundamentals
- Advanced Clustering
- Hierarchical Clustering
- Introducing Recommendation Systems
- Introducing Natural Language Processing
- Topic Modeling and Sentiment Analysis in NLP
- Introducing Neural Networks
- Advanced Deep Learning Models
- Creating a Machine Learning Architecture