國立高雄大學圖資館 |

Introduction to prescriptive AIa primer for decision intelligence solutioning with Python /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Introduction to prescriptive AIby Akshay Kulkarni, Adarsha Shivananda, Avinash Manure.
其他題名:	a primer for decision intelligence solutioning with Python /
作者:	Kulkarni, Akshay.
其他作者:	Shivananda, Adarsha.
出版者:	Berkeley, CA :Apress :2023.
面頁冊數:	xvi, 194 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence.
電子資源:	https://doi.org/10.1007/978-1-4842-9568-7
ISBN:	9781484295687$q(electronic bk.)

Introduction to prescriptive AIa primer for decision intelligence solutioning with Python /
Kulkarni, Akshay.

Introduction to prescriptive AIa primer for decision intelligence solutioning with Python /[electronic resource] :by Akshay Kulkarni, Adarsha Shivananda, Avinash Manure. - Berkeley, CA :Apress :2023. - xvi, 194 p. :ill., digital ;24 cm.

Chapter 1: Decision Intelligence Overview -- Chapter 2: Decision Intelligence Requirements -- Chapter 3: Decision Intelligence Methodologies -- Chapter 4: Interpreting Results from Different Methodologies -- Chapter 5: Augmenting Decision Intelligence Results into the Business Workflow -- Chapter 6: Actions, Biases and Human-in-the-Loop -- Chapter 7: Case Studies.

Gain a working knowledge of prescriptive AI, its history, and its current and future trends. This book will help you evaluate different AI-driven predictive analytics techniques and help you incorporate decision intelligence into your business workflow through real-world examples. The book kicks off with an introduction to decision intelligence and provides insight into prescriptive AI and how it can be woven into various business strategies and frameworks. You'll then be introduced to different decision intelligence methodologies and how to implement them, along with advantages and limitations of each. Digging deeper, the authors then walk you through how to perform simulations and interpret the results. A full chapter is devoted to embedding decision intelligence processes and outcomes into your business workflow using various applications. The book concludes by exploring different cognitive biases humans are prone to, and how those biases can be eliminated by combining machine and human intelligence. Upon completing this book, you will understand prescriptive AI, tools, and techniques and will be ready to incorporate them into your business workflow. You will: Implement full-fledged decision intelligence applications using Python Leverage the tools, techniques, and methodologies for prescriptive AI Understand how prescriptive AI can be used in different domains through practical examples Interpret results and integrate them into your decision making.

ISBN: 9781484295687$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-9568-7doiSubjects--Topical Terms:

194058
Artificial intelligence.

LC Class. No.: Q335 / .K85 2023

Dewey Class. No.: 006.3

Introduction to prescriptive AIa primer for decision intelligence solutioning with Python /
LDR:02910nmm a2200325 a 4500 001 647232
003 DE-He213
005 20230626164128.0
006 m d
007 cr nn 008maaau
008 240116s2023 cau s 0 eng d
020 $a 9781484295687$q(electronic bk.)
020 $a 9781484295670$q(paper)
024 7 $a 10.1007/978-1-4842-9568-7 $2 doi
035 $a 978-1-4842-9568-7
040 $a GP $c GP
041 0 $a eng
050 4 $a Q335 $b .K85 2023
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q335 $b .K96 2023
100 1 $a Kulkarni, Akshay. $3 834027
245 1 0 $a Introduction to prescriptive AI $h [electronic resource] : $b a primer for decision intelligence solutioning with Python / $c by Akshay Kulkarni, Adarsha Shivananda, Avinash Manure.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2023.
300 $a xvi, 194 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Decision Intelligence Overview -- Chapter 2: Decision Intelligence Requirements -- Chapter 3: Decision Intelligence Methodologies -- Chapter 4: Interpreting Results from Different Methodologies -- Chapter 5: Augmenting Decision Intelligence Results into the Business Workflow -- Chapter 6: Actions, Biases and Human-in-the-Loop -- Chapter 7: Case Studies.
520 $a Gain a working knowledge of prescriptive AI, its history, and its current and future trends. This book will help you evaluate different AI-driven predictive analytics techniques and help you incorporate decision intelligence into your business workflow through real-world examples. The book kicks off with an introduction to decision intelligence and provides insight into prescriptive AI and how it can be woven into various business strategies and frameworks. You'll then be introduced to different decision intelligence methodologies and how to implement them, along with advantages and limitations of each. Digging deeper, the authors then walk you through how to perform simulations and interpret the results. A full chapter is devoted to embedding decision intelligence processes and outcomes into your business workflow using various applications. The book concludes by exploring different cognitive biases humans are prone to, and how those biases can be eliminated by combining machine and human intelligence. Upon completing this book, you will understand prescriptive AI, tools, and techniques and will be ready to incorporate them into your business workflow. You will: Implement full-fledged decision intelligence applications using Python Leverage the tools, techniques, and methodologies for prescriptive AI Understand how prescriptive AI can be used in different domains through practical examples Interpret results and integrate them into your decision making.
650 0 $a Artificial intelligence. $3 194058
650 0 $a Decision making $x Data processing. $3 235779
650 0 $a Python (Computer program language) $3 215247
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Python. $3 763308
700 1 $a Shivananda, Adarsha. $3 834028
700 1 $a Manure, Avinash. $3 864054
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-9568-7
950 $a Professional and Applied Computing (SpringerNature-12059)