Data Science With Julia

Summary

There is a dearth of resources for data scientists, statisticians, etc., wishing to learn about Julia. Using well known data science methods, this book will both motivate the reader and assuage any unease. The book will get readers up to speed on key features of the Julia language and illustrate some of its advantages for data science work.

Product details

• Authors: Paul D. McNicholas, Paul D. (Mcmaster University) Tait Mcnicholas, Peter Tait, Tait Peter
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 19.12.2018
• EAN: 9781138499997
• ISBN: 978-1-138-49999-7
• No. of pages: 220
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; BUSINESS & ECONOMICS / Statistics, MATHEMATICS / Probability & Statistics / General, Probability & statistics, Mathematical & statistical software, Databases, Programming & scripting languages: general, Probability and statistics, Programming and scripting languages: general, Mathematical and statistical software