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OverviewThe book provides a comprehensive overview of machine learning, covering fundamental concepts, popular algorithms, and advanced topics. It explores various domains, including computer vision, natural language processing, and reinforcement learning. The book delves into key techniques, such as deep learning, ensemble methods, and transfer learning. It also addresses ethical considerations and future perspectives in machine learning. With detailed explanations, practical examples, and insights into cutting-edge research, the book serves as a valuable resource for both beginners and experienced practitioners in the field of machine learning. Full Product DetailsAuthor: Tater GeePublisher: Independently Published Imprint: Independently Published Dimensions: Width: 15.20cm , Height: 0.40cm , Length: 22.90cm Weight: 0.100kg ISBN: 9798852539182Pages: 66 Publication Date: 16 July 2023 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 |
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