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Patrick Hall James Curtis Parul Machine Learning for High-Risk Appli (Paperback)
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 eBay item number:406334650988
 Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Country of Origin
- US
- Book Title
- Machine Learning for High-Risk Applications
- EAN
- 9781098102432
- ISBN
- 9781098102432
- Genre
- Computing & Internet
- ISBN-10
- 1098102436
- Edition
- 1st
- Publication Name
- Machine Learning for High-Risk Applications
- Subtitle
- Approaches to Responsible AI
- Release Date
- 05/02/2023
- Release Year
- 2023
About this product
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1098102436
ISBN-13
9781098102432
eBay Product ID (ePID)
25057238456
Product Key Features
Number of Pages
466 Pages
Publication Name
Machine Learning for High-Risk Applications : Approaches to Responsible Ai
Language
English
Publication Year
2023
Subject
Software Development & Engineering / General, Security / Online Safety & Privacy, Intelligence (Ai) & Semantics, Computer Science, Data Processing, Software Development & Engineering / Systems Analysis & Design, Social Aspects / Human-Computer Interaction
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
1.2 in
Item Weight
28.4 Oz
Item Length
9.2 in
Item Width
7 in
Additional Product Features
LCCN
2023-280039
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.31
Synopsis
The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes approaches to responsible AI--a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public. Learn technical approaches for responsible AI across explainability, model validation and debugging, bias management, data privacy, and ML security Learn how to create a successful and impactful AI risk management practice Get a basic guide to existing standards, laws, and assessments for adopting AI technologies, including the new NIST AI Risk Management Framework Engage with interactive resources on GitHub and Colab
LC Classification Number
Q325.5.H3 2023
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- n***1 (86)- Feedback left by buyer.Past 6 monthsVerified purchaseItem arrived still wrapped as advertised but it must have taken some damage in transit since it arrived with a couple cracks and a small chunk of the frame of the case had completely detached. BUT the discs were still undamaged so I messaged the seller to tell them I was still going to keep the item I just wanted to let them know about the issue and they messaged me back and offered me 20% off the order to make up for the inconvenience. Great seller. Would purchase from them again.Star Trek: The Next Generation: Season 6 (DVD) Star Trek Next Generation (#297401993046)

