Book Image

Large Scale Machine Learning with Python

By : Bastiaan Sjardin, Alberto Boschetti
Book Image

Large Scale Machine Learning with Python

By: Bastiaan Sjardin, Alberto Boschetti

Overview of this book

Large Python machine learning projects involve new problems associated with specialized machine learning architectures and designs that many data scientists have yet to tackle. But finding algorithms and designing and building platforms that deal with large sets of data is a growing need. Data scientists have to manage and maintain increasingly complex data projects, and with the rise of big data comes an increasing demand for computational and algorithmic efficiency. Large Scale Machine Learning with Python uncovers a new wave of machine learning algorithms that meet scalability demands together with a high predictive accuracy. Dive into scalable machine learning and the three forms of scalability. Speed up algorithms that can be used on a desktop computer with tips on parallelization and memory allocation. Get to grips with new algorithms that are specifically designed for large projects and can handle bigger files, and learn about machine learning in big data environments. We will also cover the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python.
Table of Contents (17 chapters)
Large Scale Machine Learning with Python
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

About the Reviewer

Oleg Okun is a machine learning expert and an author/editor of four books, numerous journal articles, and conference papers. He has been working for more than a quarter of a century. During this time, Oleg was employed in both academia and industry in his mother country, Belarus, and abroad (Finland, Sweden, and Germany). His work experience includes document image analysis, fingerprint biometrics, bioinformatics, online/offline marketing analytics, and credit-scoring analytics. He is interested in all aspects of distributed machine learning and the Internet of Things. Oleg currently lives and works in Hamburg, Germany, and is about to start a new job as a chief architect of intelligent systems. His favorite programming languages are Python, R, and Scala.

Kai Londenberg is a data science and big data expert with many years of professional experience. Currently, he is working as a data scientist at the Volkswagen Data Lab. Before that, he had the pleasure of being the lead data scientist at Searchmetrics, where Luca Massaron was a member of his team. Kai enjoys working with cutting-edge technologies, and while he is a pragmatic machine learning practitioner and software developer at work, he always enjoys staying up-to-date with the latest technologies and research in machine learning, AI, and related fields. You can find him on LinkedIn at https://www.linkedin.com/in/kailondenberg.