Clojure for Data Science

Henry Garner

ISBN 10: 1784397180 / ISBN 13: 9781784397180

Published by Packt Publishing, 2015

About this Item

Clojure for Data Science | Henry Garner | Taschenbuch | Kartoniert / Broschiert | Englisch | 2015 | Packt Publishing | EAN 9781784397180 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 104223455

Bibliographic Details

• Title: Clojure for Data Science
• Publisher: Packt Publishing
• Publication Date: 2015
• Language: English
• ISBN 10: 1784397180
• ISBN 13: 9781784397180
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 191H x 33D millimeters 235 millimeters width by 191 millimeters height by 33 millimeters depth
• Weight: 1118 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book is aimed at developers who are already productive in Clojure but who are overwhelmed by the breadth and depth of understanding required to be effective in the field of data science. Whether you re tasked with delivering a specific analytics project or simply suspect that you could be deriving more value from your data, this book will inspire you with the opportunities and inform you of the risks that exist in data of all shapes and sizes.

About the Author

Henry Garner

Henry Garner is a graduate from the University of Oxford and an experienced developer, CTO, and coach. He started his technical career at Britain's largest telecoms provider, BT, working with a traditional data warehouse infrastructure. As a part of a small team for 3 years, he built sophisticated data models to derive insight from raw data and use web applications to present the results. These applications were used internally by senior executives and operatives to track both business and systems performance. He then went on to co-found Likely, a social media analytics start-up. As the CTO, he set the technical direction, leading to the introduction of an event-based append-only data pipeline modeled after the Lambda architecture. He adopted Clojure in 2011 and led a hybrid team of programmers and data scientists, building content recommendation engines based on collaborative filtering and clustering techniques. He developed a syllabus and copresented a series of evening classes from Likely's offices for professional developers who wanted to learn Clojure. Henry now works with growing businesses, consulting in both a development and technical leadership capacity. He presents regularly at seminars and Clojure meetups in and around London.