Machine Learning for High Risk Applications is popular PDF and ePub book, written by Patrick Hall in 2023-04-17, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning for High Risk Applications can be Read Online from any device for your convenience.
Machine Learning for High Risk Applications Book PDF Summary
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
Detail Book of Machine Learning for High Risk Applications PDF
- Author : Patrick Hall
- Release : 17 April 2023
- Publisher : "O'Reilly Media, Inc."
- ISBN : 9781098102395
- Genre : Computers
- Total Page : 496 pages
- Language : English
- PDF File Size : 17,6 Mb
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