Quddus Machine Learning with Apache Spark Quick Start Guide

Uncover patterns, derive actionable insights, and learn from big data using MLlib
1. Auflage 2018
ISBN: 978-1-78934-937-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 240 Seiten

No detailed description available for "Machine Learning with Apache Spark Quick Start Guide".

Autoren/Hrsg.

Quddus, Jillur

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - The Big Data Ecosystem
- Setting up a Local Development Environment
- Artificial Intelligence and Machine Learning
- Supervised Learning Using Apache Spark
- Unsupervised Learning using Apache Spark
- Natural Language Processing using Apache Spark
- Deep Learning Using Apache Spark
- Real-Time Machine Learning Using Apache Spark

Über Autor(innen)

Quddus Jillur:
Jillur Quddus is a lead technical architect, polyglot software engineer and data scientist with over 10 years of hands-on experience in architecting and engineering distributed, scalable, high-performance, and secure solutions used to combat serious organized crime, cybercrime, and fraud. Jillur has extensive experience of working within central government, intelligence, law enforcement, and banking, and has worked across the world including in Japan, Singapore, Malaysia, Hong Kong, and New Zealand. Jillur is both the founder of Keisan, a UK-based company specializing in open source distributed technologies and machine learning, and the lead technical architect at Methods, the leading digital transformation partner for the UK public sector.