{"product_id":"practicing-trustworthy-machine-learning-consistent-transparent-and-fair-ai-pipelines-9781098120276","title":"Practicing Trustworthy Machine Learning: Consistent, Transparent, and Fair AI Pipelines","description":"\u003cp\u003e • Author(s): Yada Pruksachatkun\u003cbr\u003e • Publisher: O'Reilly Media\u003cbr\u003e • Publisher Imprint: O'Reilly Media\u003cbr\u003e • BISAC: Data Science - Machine Learning\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWith the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable. \u003c\/p\u003e\u003cp\u003e Authors Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar translate best practices in the academic literature for curating datasets and building models into a blueprint for building industry-grade trusted ML systems. With this book, engineers and data scientists will gain a much-needed foundation for releasing trustworthy ML applications into a noisy, messy, and often hostile world. \u003c\/p\u003e\u003cp\u003e You'll learn: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eMethods to explain ML models and their outputs to stakeholders \u003c\/li\u003e\n\u003cli\u003eHow to recognize and fix fairness concerns and privacy leaks in an ML pipeline \u003c\/li\u003e\n\u003cli\u003eHow to develop ML systems that are robust and secure against malicious attacks \u003c\/li\u003e\n\u003cli\u003eImportant systemic considerations, like how to manage trust debt and which ML obstacles require human intervention \u003c\/li\u003e\n\u003c\/ul\u003e","brand":"O'Reilly Media","offers":[{"title":"Paperback","offer_id":45032980250775,"sku":"9781098120276","price":5495.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781098120276.webp?v=1769198655","url":"https:\/\/atlanticbooks.com\/products\/practicing-trustworthy-machine-learning-consistent-transparent-and-fair-ai-pipelines-9781098120276","provider":"Atlantic Books","version":"1.0","type":"link"}