It's All Analytics!

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A01=Gary D. Miner
A01=Scott Burk
advanced analytics program development
Algorithmic Ai
Author_Gary D. Miner
Author_Scott Burk
Bi System
Big Data
Big Data Technology
Business Case
business intelligence systems
Car's Gps
Category=GPH
Category=UNC
Category=UYQM
Chief Data Officers
CIO
Citizen Data Scientists
computational modeling
Data Mining
data mining techniques
Data Science
Data Science Program
Data Science Team
Data Warehouse
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
GDPR.
healthcare analytics methods
Machine Learning
Mars
Netflix Prize
OLAP applications
Predictive Analytics
prescriptive analytics
Regression Model Trees
Ron Wasserstein
Self-driving Car
Smart Phone
Strong Ai

Product details

  • ISBN 9780367493790
  • Weight: 840g
  • Dimensions: 178 x 254mm
  • Publication Date: 01 Aug 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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It's All Analytics! The Foundations of AI, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government (978-0-367-35968-3, 325690)

Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially in the last 25 years, there has been an explosion of terms and methods that automate and improve decision-making and operations. One term, "analytics," is an overarching description of a compilation of methodologies. But AI (artificial intelligence), statistics, decision science, and optimization, which have been around for decades, have resurged. Also, things like business intelligence, online analytical processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology and terminology?

This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject. The authors include the basics such as algorithms, mental concepts, models, and paradigms in addition to the benefits of machine learning. The book also includes a chapter on data and the various forms of data. The authors wrap up this book with a look at the next frontiers such as applications and designing your environment for success, which segue into the topics of the next two books in the series.

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