Machine Learning for High-Risk Applications: Techniques for Responsible AI by Patrick Hall, James Curtis, and Parul Pandey
Requirements: .ePUB reader, 36 MB
Overview: The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach 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.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://www.upload-4ever.com/gqg84152p9wg
https://mega4upload.com/mrkfq77wxi6w
https://www.centfile.com/n5fe0f26ykrt
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Requirements: .ePUB reader, 36 MB
Overview: The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach 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.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://www.upload-4ever.com/gqg84152p9wg
https://mega4upload.com/mrkfq77wxi6w
https://www.centfile.com/n5fe0f26ykrt
Trouble downloading? Read This.