The Data Science Handbook

The Data Science Handbook

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: • Extensive sample code and tutorials using Python™ along with its technical libraries • Core technologies of “Big Data,” including their strengths and limitations and how they can be used to solve real-world problems • Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity • A wide variety of case studies from industry • Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. FIELD CADY is the data scientist at the Allen Institute for Artificial Intelligence, where he develops tools that use machine learning to mine scientific literature. He has also worked at Google and several Big Data startups. He has a BS in physics and math from Stanford University, and an MS in computer science from Carnegie Mellon.


Author
Publisher John Wiley & Sons
Release Date
ISBN 1119092949
Pages 416 pages
Rating 4/5 (40 users)

More Books:

The Data Science Handbook
Language: en
Pages: 416
Authors: Field Cady
Categories: Mathematics
Type: BOOK - Published: 2017-02-28 - Publisher: John Wiley & Sons

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scienti
Python Data Science Handbook
Language: en
Pages: 548
Authors: Jake VanderPlas
Categories: Computers
Type: BOOK - Published: 2016-11-21 - Publisher: "O'Reilly Media, Inc."

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
Generatives Deep Learning
Language: de
Pages: 310
Authors: David Foster
Categories:
Type: BOOK - Published: 2020 - Publisher:

Generative Modelle haben sich zu einem der spannendsten Themenbereiche der Künstlichen Intelligenz entwickelt: Mit generativem Deep Learning ist es inzwischen
The Decision Maker's Handbook to Data Science
Language: en
Pages: 156
Authors: Stylianos Kampakis
Categories: Computers
Type: BOOK - Published: 2019-11-26 - Publisher: Apress

Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the bene
The Data Science Handbook - Everything You Need to Know about Data Science
Language: en
Pages: 78
Authors: Catherine Ingram
Categories: Reference
Type: BOOK - Published: 2016-04-13 - Publisher: Emereo Publishing

This book is your ultimate Data Science resource. Here you will find the most up-to-date information, facts, quotes and much more. In easy to read chapters, wit
Applying Data Science
Language: en
Pages: 494
Authors: Arthur K. Kordon
Categories: Computers
Type: BOOK - Published: 2020-09-12 - Publisher: Springer Nature

This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods. In Part I, the a
BIG DATA ANALYTICS
Language: en
Pages: 534
Authors: Raj Kamal
Categories: Computers
Type: BOOK - Published: 2019-02-16 - Publisher: McGraw-Hill Education

Big Data Analytics(BDA) is a rapidly evolving field that finds applications in many areas such as healthcare, medicine, advertising, marketing, and sales. This
Python and R for the Modern Data Scientist
Language: en
Pages: 198
Authors: Rick J. Scavetta
Categories: Computers
Type: BOOK - Published: 2021-06-22 - Publisher: "O'Reilly Media, Inc."

Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the f
Managerial Perspectives on Intelligent Big Data Analytics
Language: en
Pages: 335
Authors: Sun, Zhaohao
Categories: Computers
Type: BOOK - Published: 2019-02-22 - Publisher: IGI Global

Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e
Fundamentals of Data Science
Language: en
Pages: 296
Authors: Sanjeev J. Wagh
Categories: Business & Economics
Type: BOOK - Published: 2021-09-26 - Publisher: CRC Press

Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork require