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OverviewThis toolkit for ML and AI researchers covers essential libraries, frameworks, and tools across various domains, including NLP, computer vision, and reinforcement learning. Emphasizing the importance of experiment tracking with platforms like MLflow and Weights & Biases, it highlights ethical considerations through tools like AIF360 and Fairlearn to ensure fairness in models. The chapter concludes with a call for continuous learning and adaptation in a rapidly evolving field, stressing the need for ethical responsibility. Together, researchers can navigate the AI frontier, creating impactful, transparent, and equitable innovations for society. Full Product DetailsAuthor: Ravindra Kumar NayakPublisher: Independently Published Imprint: Independently Published Dimensions: Width: 21.60cm , Height: 1.00cm , Length: 27.90cm Weight: 0.449kg ISBN: 9798340141743Pages: 188 Publication Date: 23 September 2024 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |