The Data Science Handbook

The Data Science Handbook
Author: Carl Shan
Publisher:
Total Pages:
Release: 2015-05-03
Genre:
ISBN: 9780692434871


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The Data Science Handbook is a curated collection of 25 candid, honest and insightful interviews conducted with some of the world's top data scientists.In this book, you'll hear how the co-creator of the term 'data scientist' thinks about career and personal success. You'll hear from a young woman who created her own data scientist curriculum, subsequently landing her a role in the field. Readers of this book will be left with war stories, wisdom and


The Data Science Handbook
Language: en
Pages:
Authors: Carl Shan
Categories:
Type: BOOK - Published: 2015-05-03 - Publisher:

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The Data Science Handbook is a curated collection of 25 candid, honest and insightful interviews conducted with some of the world's top data scientists.In this
Python Data Science Handbook
Language: en
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Authors: Jake VanderPlas
Categories: Computers
Type: BOOK - Published: 2016-11-21 - Publisher: "O'Reilly Media, Inc."

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For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources e
The Data Science Handbook
Language: en
Pages: 420
Authors: Field Cady
Categories: Mathematics
Type: BOOK - Published: 2017-02-28 - Publisher: John Wiley & Sons

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A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scienti
R for Data Science
Language: en
Pages: 521
Authors: Hadley Wickham
Categories: Computers
Type: BOOK - Published: 2016-12-12 - Publisher: "O'Reilly Media, Inc."

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R pac
The Data Science Design Manual
Language: en
Pages: 456
Authors: Steven S. Skiena
Categories: Computers
Type: BOOK - Published: 2017-07-01 - Publisher: Springer

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This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focus