How Long to Read Machine Learning for High-Risk Applications

How Long Does it Take to Read Machine Learning for High-Risk Applications?

It takes the average reader 8 hours and 5 minutes to read Machine Learning for High-Risk Applications by Patrick Hall

Assuming a reading speed of 250 words per minute. Learn more

Description

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

How long is Machine Learning for High-Risk Applications?

Machine Learning for High-Risk Applications by Patrick Hall is 469 pages long, and a total of 121,471 words.

This makes it 158% the length of the average book. It also has 148% more words than the average book.

How Long Does it Take to Read Machine Learning for High-Risk Applications Aloud?

The average oral reading speed is 183 words per minute. This means it takes 11 hours and 3 minutes to read Machine Learning for High-Risk Applications aloud.

What Reading Level is Machine Learning for High-Risk Applications?

Machine Learning for High-Risk Applications is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Machine Learning for High-Risk Applications?

Machine Learning for High-Risk Applications by Patrick Hall is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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