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Data Science - by  Field Cady (Hardcover) - 1 of 1

Data Science - by Field Cady (Hardcover)

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Highlights

  • Tap into the power of data science with this comprehensive resource for non-technical professionals Data Science: The Executive Summary - A Technical Book for Non-Technical Professionals is a comprehensive resource for people in non-engineer roles who want to fully understand data science and analytics concepts.
  • About the Author: Field Cady, is a data scientist and author in the Seattle area.
  • 208 Pages
  • Mathematics, Probability & Statistics

Description



About the Book



"Data science is becoming a ubiquitous tool in the business world to help in making business decisions, optimizing existing technologies, and building intelligence into new ones. The author's previous Wiley book was aimed at practitioners of data science, but there is a much larger audience of people in non-technical roles who will need to help to frame data science problems, interpret their results, and make critical decisions. This book is for them."--



Book Synopsis



Tap into the power of data science with this comprehensive resource for non-technical professionals

Data Science: The Executive Summary - A Technical Book for Non-Technical Professionals is a comprehensive resource for people in non-engineer roles who want to fully understand data science and analytics concepts. Accomplished data scientist and author Field Cady describes both the "business side" of data science, including what problems it solves and how it fits into an organization, and the technical side, including analytical techniques and key technologies.

Data Science: The Executive Summary covers topics like:

  • Assessing whether your organization needs data scientists, and what to look for when hiring them
  • When Big Data is the best approach to use for a project, and when it actually ties analysts' hands
  • Cutting edge Artificial Intelligence, as well as classical approaches that work better for many problems
  • How many techniques rely on dubious mathematical idealizations, and when you can work around them

Perfect for executives who make critical decisions based on data science and analytics, as well as mangers who hire and assess the work of data scientists, Data Science: The Executive Summary also belongs on the bookshelves of salespeople and marketers who need to explain what a data analytics product does. Finally, data scientists themselves will improve their technical work with insights into the goals and constraints of the business situation.



From the Back Cover



Tap into the power of data science with this comprehensive resource for non-technical professionals

Data Science: The Executive Summary - A Technical Book for Non-Technical Professionals is a comprehensive resource for people in non-engineering roles who want to fully understand data science and analytics concepts. Accomplished data scientist and author Field Cady describes both the "business side" of data science, including what problems it solves and how it fits into an organization, and the technical side, including analytical techniques and key technologies.

Data Science: The Executive Summary covers topics like:

  • Assessing whether your organization needs data scientists, and what to look for when hiring them
  • When Big Data is the best approach to use for a project, and when it actually ties analysts' hands
  • Cutting edge Artificial Intelligence, as well as classical approaches that work better for many problems
  • The mathematical idealizations that underlie different analytics techniques, how to spot when they aren't true of your data, and what to do in those situations

Perfect for executives who make critical decisions based on data science and analytics, as well as mangers who hire and assess the work of data scientists, Data Science: The Executive Summary also belongs on the bookshelves of salespeople and marketers who need to explain what a data analytics product does. Finally, data scientists can have more impact by thinking about the goals and constraints that come from the business situation.



About the Author



Field Cady, is a data scientist and author in the Seattle area. Most of his career has focused on consulting, for clients of all sizes in a range of industries. More recently he focused on using AI to mine scientific literature at the Allen Institute for Artificial Intelligence. His previous book, The Data Science Handbook, was published in 2017. His work has been covered in Wired, MIT Press and the Wall Street Journal among others.

Dimensions (Overall): 9.1 Inches (H) x 6.0 Inches (W) x .6 Inches (D)
Weight: 1.0 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 208
Genre: Mathematics
Sub-Genre: Probability & Statistics
Publisher: Wiley
Theme: General
Format: Hardcover
Author: Field Cady
Language: English
Street Date: December 30, 2020
TCIN: 1011497516
UPC: 9781119544081
Item Number (DPCI): 247-34-9292
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.6 inches length x 6 inches width x 9.1 inches height
Estimated ship weight: 1 pounds
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Q: What is the target audience for this book?

submitted by AI Shopping Assistant - 8 days ago
  • A: The book is aimed at non-technical professionals who want to understand data science concepts.

    submitted byAI Shopping Assistant - 8 days ago
    Ai generated

Q: What is the format of this book?

submitted by AI Shopping Assistant - 8 days ago
  • A: The book is available in hardcover format and consists of 208 pages.

    submitted byAI Shopping Assistant - 8 days ago
    Ai generated

Q: What topics are covered in this data science resource?

submitted by AI Shopping Assistant - 8 days ago
  • A: It covers the business side of data science, analytical techniques, hiring data scientists, and when to use Big Data.

    submitted byAI Shopping Assistant - 8 days ago
    Ai generated

Q: What age group is this book suitable for?

submitted by AI Shopping Assistant - 8 days ago
  • A: The book is suggested for readers aged 22 years and up.

    submitted byAI Shopping Assistant - 8 days ago
    Ai generated

Q: Who is the author of this data science book?

submitted by AI Shopping Assistant - 8 days ago
  • A: The author of the book is Field Cady, a data scientist based in Seattle.

    submitted byAI Shopping Assistant - 8 days ago
    Ai generated

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