R. Nicolas Scala for Machine Learning

Leverage Scala and Machine Learning to construct and study systems that can learn from data
1. Auflage 2024
ISBN: 978-1-78355-875-9
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 520 Seiten

Key FeaturesBook DescriptionAre you curious about AI? All you need is a good understanding of the Scala programming language, a basic knowledge of statistics, a keen interest in Big Data processing, and this book!What you will learn - Build dynamic workflows for scientific computing
- Leverage open source libraries to extract patterns from time series
- Write your own classification, clustering, or evolutionary algorithm
- Perform relative performance tuning and evaluation of Spark
- Master probabilistic models for sequential data
- Experiment with advanced techniques such as regularization and kernelization
- Solve big data problems with Scala parallel collections, Akka actors, and Apache Spark clusters
- Apply key learning strategies to a technical analysis of financial markets
Who this book is for

Autoren/Hrsg.

R. Nicolas, Patrick

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie

Inhaltsverzeichnis

Table of Contents - Getting Started
- Hello World
- Data preprocessing
- Unsupervised Learning
- Naïve Bayes Classifiers
- Regression and Regularization
- Sequential Data Models HMM and CRF
- Kernel models and Support Vector Machines
- Artificial Neural Networks

- Genetic Algorithms
- Reinforcement learning
- Scalable Frameworks
- Appendix: Appendix
- Appendix B

Über Autor(innen)

R. Nicolas Patrick :

Patrick R. Nicolas is the director of engineering at Agile SDE, California. He has more than 25 years of experience in software engineering and building applications in C++, Java, and more recently in Scala/Spark, and has held several managerial positions. His interests include real-time analytics, modeling, and the development of nonlinear models.