Data Science Without Makeup

Author: Mikhail Zhilkin
Editor: CRC Press
ISBN: 1000464857
File Size: 46,26 MB
Format: PDF, Kindle
Read: 3789
Download

"Having worked with Mikhail it does not surprise me that he has put together a comprehensive and insightful book on Data Science where down-to-earth pragmatism is the recurring theme. This is a must-read for everyone interested in industrial data science, in particular analysts and managers who want to learn from Mikhail‘s great experience and approach." --Stefan Freyr Gudmundsson, Lead Data Scientist at H&M, former AI Research Lead at King and Director of Risk Analytics and Modeling at Islandsbanki. "It tells the unvarnished truth about data science. Chapter 2 ("Data Science is Hard") is worth the price on its own—and then Zhilkin gives us processes to help. A must-read for any practitioner, manager, or executive sponsor of data science." --Ted Lorenzen, Director of Marketing Analytics at Vein Clinics of America "Mikhail is a pioneer in the applied data science space. His ability to provide innovative solutions to practical questions in a dynamic environment is simply superb. Importantly, Mikhail’s ability to remain calm and composed in high-pressure situations is surpassed only by his humility." --Darren Burgess, High Performance Manager at Melbourne FC, former Head of Elite Performance at Arsenal FC Mikhail Zhilkin, a data scientist who has worked on projects ranging from Candy Crush games to Premier League football players’ physical performance, shares his strong views on some of the best and, more importantly, worst practices in data analytics and business intelligence. Why data science is hard, what pitfalls analysts and decision-makers fall into, and what everyone involved can do to give themselves a fighting chance—the book examines these and other questions with the skepticism of someone who has seen the sausage being made. Honest and direct, full of examples from real life, Data Science Without Makeup: A Guidebook for End-Users, Analysts and Managers will be of great interest to people who aspire to work with data, people who already work with data, and people who work with people who work with data—from students to professional researchers and from early-career to seasoned professionals. Mikhail Zhilkin is a data scientist at Arsenal FC. He has previously worked on the popular Candy Crush mobile games and in sports betting.
Data Science Without Makeup
Language: en
Pages: 194
Authors: Mikhail Zhilkin
Categories: Computers
Type: BOOK - Published: 2021-11-02 - Publisher: CRC Press

"Having worked with Mikhail it does not surprise me that he has put together a comprehensive and insightful book on Data Science where down-to-earth pragmatism is the recurring theme. This is a must-read for everyone interested in industrial data science, in particular analysts and managers who want to learn from
Science without Myth
Language: en
Pages: 199
Authors: Sergio Sismondo
Categories: Social Science
Type: BOOK - Published: 1996-01-01 - Publisher: SUNY Press

This philosophical introduction to and discussion of social and political studies of science argues that scientific knowledge is socially constructed.
Applied Data Science
Language: en
Pages: 465
Authors: Martin Braschler, Thilo Stadelmann, Kurt Stockinger
Categories: Computers
Type: BOOK - Published: 2019-06-13 - Publisher: Springer

This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement
Data Science Fundamentals and Practical Approaches
Language: en
Pages: 634
Authors: Dr. Gypsy Nandi, Dr. Rupam Kumar Sharma
Categories: Computers
Type: BOOK - Published: 2020-06-02 - Publisher: BPB Publications

Learn how to process and analysis data using Python KEY FEATURES - The book has theories explained elaborately along with Python code and corresponding output to support the theoretical explanations. The Python codes are provided with step-by-step comments to explain each instruction of the code. - The book is not
Data Science Programming All-in-One For Dummies
Language: en
Pages: 768
Authors: John Paul Mueller, Luca Massaron
Categories: Computers
Type: BOOK - Published: 2019-12-04 - Publisher: John Wiley & Sons

Your logical, linear guide to the fundamentals of data science programming Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to