國立虎尾科技大學 |

Artificial intelligence and deep learning for decision makers = a growth hacker’s guide to cutting edge technologies /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Artificial intelligence and deep learning for decision makers / Jagreet Kaur, Navdeep Singh Gill.
其他題名:	a growth hacker’s guide to cutting edge technologies /
作者:	Kaur, Jagreet.
其他作者:	Gill, Navdeep Singh,
面頁冊數:	1 online resource (248 pages)
標題:	COMPUTERS / Data Science / Machine Learning. -
電子資源:	https://portal.igpublish.com/iglibrary/search/BPB0000110.html
ISBN:	9789389328684

Artificial intelligence and deep learning for decision makers = a growth hacker’s guide to cutting edge technologies /
Kaur, Jagreet.

Artificial intelligence and deep learning for decision makers a growth hacker’s guide to cutting edge technologies /[electronic resource] :Jagreet Kaur, Navdeep Singh Gill. - 1 online resource (248 pages)

Includes bibliographical references and index.

Artificial intelligence and deep learning for decision makers : a growth hacker’s guide to cutting edge technologies -- About the Authors -- About the Reviewer -- Acknowledgements -- Preface -- Errata -- Table of Contents -- Chapter 1 Artificial Intelligence and Deep Learning -- Chapter 2 Data Science for Business Analysis -- Chapter 3 Decision Making -- Chapter 4 Intelligent Computing Strategies by Google -- Chapter 5 Cognitive Learning Services in IBM Watson -- Chapter 6 Advancement of Web Services by Baidu -- Chapter 7 Improved Social Business by Facebook -- Chapter 9 Cloud Computing Intelligence by Microsoft.

Access restricted to authorized users and institutions.

Learn modern-day technologies from modern-day technical giantsThe aim of this book is to help the readers understand the concept of artificial intelligence and deep learning methods and implement them into their businesses and organizations. The first two chapters describe the introduction of the artificial intelligence and deep learning methods. In the first chapter, the concept of human thinking process, starting from the biochemical responses within the structure of neurons to the problem-solving steps through computational thinking skills are discussed. All chapters after the first two should be considered as the study of different technological and Artificial Intelligence giants of current age. These chapters are placed in a way that each chapter could be considered a separate study of a separate company, which includes the achievements of intelligent services currently provided by the company, discussion on the business model of the company towards the use of the deep learning technologies, the advancement of the web services which are incorporated with intelligent capability introduced by company, the efforts of the company in contributing to the development of the artificial intelligence and deep learning research.KEY FEATURES 1.Real-world success and failure stories of artificial intelligence explained2.Understand concepts of artificial intelligence and deep learning methods 3.Learn how to use artificial intelligence and deep learning methods4.Know how to prepare dataset and implement models using industry leading Python packages 5.You ll be able to apply and analyze the results produced by the models for prediction.WHAT WILL YOU LEARN How to use the algorithms written in the Python programming language to design models and perform predictions in general datasetsUnderstand use cases in different industries related to the implementation of artificial intelligence and deep learning methodsLearn the use of potential ideas in artificial intelligence and deep learning methods to improve the operational processes or new products and how services can be produced based on the methodsWHO THIS BOOK IS FOR This book is targeted to business and organization leaders, technology enthusiasts, professionals, and managers who seek knowledge of artificial intelligence and deep learning methods.

Mode of access: World Wide Web.

ISBN: 9789389328684Subjects--Topical Terms:

1483854
COMPUTERS / Data Science / Machine Learning.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: Q325

Dewey Class. No.: 006.3

Artificial intelligence and deep learning for decision makers = a growth hacker’s guide to cutting edge technologies /
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506 $a Access restricted to authorized users and institutions.
520 3 $a Learn modern-day technologies from modern-day technical giantsThe aim of this book is to help the readers understand the concept of artificial intelligence and deep learning methods and implement them into their businesses and organizations. The first two chapters describe the introduction of the artificial intelligence and deep learning methods. In the first chapter, the concept of human thinking process, starting from the biochemical responses within the structure of neurons to the problem-solving steps through computational thinking skills are discussed. All chapters after the first two should be considered as the study of different technological and Artificial Intelligence giants of current age. These chapters are placed in a way that each chapter could be considered a separate study of a separate company, which includes the achievements of intelligent services currently provided by the company, discussion on the business model of the company towards the use of the deep learning technologies, the advancement of the web services which are incorporated with intelligent capability introduced by company, the efforts of the company in contributing to the development of the artificial intelligence and deep learning research.KEY FEATURES 1.Real-world success and failure stories of artificial intelligence explained2.Understand concepts of artificial intelligence and deep learning methods 3.Learn how to use artificial intelligence and deep learning methods4.Know how to prepare dataset and implement models using industry leading Python packages 5.You ll be able to apply and analyze the results produced by the models for prediction.WHAT WILL YOU LEARN How to use the algorithms written in the Python programming language to design models and perform predictions in general datasetsUnderstand use cases in different industries related to the implementation of artificial intelligence and deep learning methodsLearn the use of potential ideas in artificial intelligence and deep learning methods to improve the operational processes or new products and how services can be produced based on the methodsWHO THIS BOOK IS FOR This book is targeted to business and organization leaders, technology enthusiasts, professionals, and managers who seek knowledge of artificial intelligence and deep learning methods.
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