Trustworthy Machine Learning(1st Edition)
Authors:
Kush R. Varshney
In Stock: 1 Left
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Total Price:
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Solution Manual Includes
Price:
$9.99
Book details
ISBN: B09SL5GPCD, 979-8411903959
Book publisher: Independently Published
Book Price $0 : Trustworthy Machine Learning by Kush R. Varshney is a seminal work that addresses the growing need for ethical and reliable AI systems in today's tech-driven world. The book delves deeply into how machine learning models can be designed and implemented to ensure they are reliable, ethical, and effective. Focusing on the main theme of trust in AI, Varshney introduces innovative methodologies and frameworks to develop models that prioritize transparency and fairness. Throughout the book, key technical concepts such as bias mitigation, interpretability, and robustness are explored comprehensively, offering readers a solid foundation in building ethical AI systems. The solution manual that accompanies the text serves as a crucial guide, enabling readers to practice and understand these concepts thoroughly. An answer key at the end of each chapter allows for self-assessment, ensuring that readers grasp the fundamental principles. The table of content is organized to guide machine learning practitioners through topics such as fairness constraints, accountability measures, and transparency techniques in a logical order. On its release, the book was widely acclaimed for bridging the gap between theory and practice in AI ethics. Varshney's work is praised for its clarity and its practical approach to implementing trustworthy AI, making it an essential resource for ML professionals and academics. This cheap publication fills a niche, delivering academic content without excessive financial burden.
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