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OverviewIn this book we embark on a fascinating journey through various techniques and algorithms crucial for modern data scientists. As the field of data science rapidly evolves, machine learning stands as a cornerstone technology, facilitating organizations in extracting valuable insights from vast datasets to drive informed decision-making. Whether you're a seasoned data scientist seeking to deepen your expertise or a newcomer eager to explore the world of machine learning, this book is tailored to meet your needs. Structured around twelve comprehensive chapters, each focusing on a specific aspect of machine learning. From Supervised Machine Learning to Unsupervised Machine Learning, Ensemble Machine Learning, and Self-Supervised Learning, each chapter delves into essential concepts and practical applications, providing clear explanations and hands-on examples to aid comprehension and skill development. Whether you're looking to understand the fundamentals of supervised learning, uncover hidden patterns with unsupervised techniques, harness the power of ensemble methods, or explore cutting-edge self-supervised learning approaches. Full Product DetailsAuthor: N Rama Rao , Aditya MahamkaliPublisher: LAP Lambert Academic Publishing Imprint: LAP Lambert Academic Publishing Dimensions: Width: 15.20cm , Height: 1.10cm , Length: 22.90cm Weight: 0.279kg ISBN: 9786207476015ISBN 10: 6207476018 Pages: 184 Publication Date: 26 March 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 |