Machine Learning for High Risk Applications Book [PDF] Download

Download the fantastic book titled Machine Learning for High Risk Applications written by Patrick Hall, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Machine Learning for High Risk Applications", which was released on 17 April 2023. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Machine Learning for High Risk Applications by Patrick Hall PDF

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 About Machine Learning for High Risk Applications PDF

  • Author : Patrick Hall
  • Publisher : "O'Reilly Media, Inc."
  • Genre : Computers
  • Total Pages : 496 pages
  • ISBN : 1098102398
  • PDF File Size : 47,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Machine Learning for High-Risk Applications

Machine Learning for High-Risk Applications
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 29,6 Mb
  • Release Date : 17 April 2023
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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

Risk Modeling

Risk Modeling
  • Publisher : John Wiley & Sons
  • File Size : 21,5 Mb
  • Release Date : 20 September 2022
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A wide-ranging overview of the use of machine learning and AI techniques in financial risk management, including practical advice for implementation Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning,

Machine Learning for High-Risk Applications

Machine Learning for High-Risk Applications
  • Publisher : O'Reilly Media
  • File Size : 28,5 Mb
  • Release Date : 04 April 2023
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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

Machine Learning, revised and updated edition

Machine Learning, revised and updated edition
  • Publisher : MIT Press
  • File Size : 39,6 Mb
  • Release Date : 17 August 2021
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A concise overview of machine learning--computer programs that learn from data--the basis of such applications as voice recognition and driverless cars. Today, machine learning underlies a range of applications we

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Innovations in Machine and Deep Learning
  • Publisher : Springer Nature
  • File Size : 42,7 Mb
  • Release Date : 04 November 2023
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In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and leaders. This book

Machine Learning for Financial Risk Management with Python

Machine Learning for Financial Risk Management with Python
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 36,9 Mb
  • Release Date : 07 December 2021
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Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, and risk analysts will explore Python-based machine learning and

Artificial Intelligence for Risk Management

Artificial Intelligence for Risk Management
  • Publisher : Business Expert Press
  • File Size : 33,9 Mb
  • Release Date : 13 March 2020
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Artificial Intelligence (AI) for Risk Management is about using AI to manage risk in the corporate environment. The content of this work focuses on concepts, principles, and practical applications that

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Cyber Security Meets Machine Learning
  • Publisher : Springer Nature
  • File Size : 36,8 Mb
  • Release Date : 02 July 2021
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Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine