Massaron Luca - Python Data Science Essentials - Second Edition

BIRMINGHAM - MUMBAI

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First published: April 2015

Second edition: October 2016

Production reference: 1211016

ISBN 978-1-78646-213-8

www.packtpub.com

Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a PhD in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges ranging from natural language processing (NLP), behavioral analysis, and machine learning to distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.

Luca Massaron is a data scientist and marketing research director specializing in multivariate statistical analysis, machine learning, and customer insight, with over a decade of experience of solving real-world problems and generating value for stakeholders by applying reasoning, statistics, data mining, and algorithms. From being a pioneer of web audience analysis in Italy to achieving the rank of a top ten Kaggler, he has always been very passionate about every aspect of data and its analysis, and also about demonstrating the potential of data-driven knowledge discovery to both experts and non-experts. Favoring simplicity over unnecessary sophistication, Luca believes that a lot can be achieved in data science just by doing the essentials.

Zacharias Voulgaris is a data scientist and technical author specializing in data science books. He has an engineering and management background, with post-graduate studies in information systems and machine learning. Zacharias has worked as a research fellow at Georgia Tech, investigating and applying machine learning technologies to real-world problems, as an SEO manager in an e-marketing company in Europe, as a program manager in Microsoft, and as a data scientist at US Bank and at G2 Web Services.

Dr. Voulgaris has also authored technical books, the most notable of which is Data Scientist - the definitive guide to becoming a data scientist (Technics Publications), and his newest book, Julia for Data Science (Technics Publications), was released during the summer of 2016. He has also written a number of data-science-related articles on blogs and participates in various data science/machine learning meetup groups. Finally, he has provided technical editorial aid in the book Python Data Science Essentials (Packt), by the same authors as this book.

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Data science is a relatively new knowledge domain that requires the successful integration of linear algebra, statistical modeling, visualization, computational linguistics, graph analysis, machine learning, business intelligence, and data storage and retrieval.