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A Biologist’s Guide to Artificial Intelligence Building the foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences【電子書籍】

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価格￥17,301

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＜p＞＜em＞A Biologist’s Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences＜/em＞ provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist’s perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future. This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the indus...

Foundations of Programming, Statistics, and Machine Learning for Business Analytics【電子書籍】[ Ram Gopal ]

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価格￥6,923

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＜p＞Business Analysts and Data Scientists are in huge demand, as global companies seek to digitally transform themselves and leverage their data resources to realize competitive advantage.＜/p＞＜p＞This book covers all the fundamentals, from statistics to programming to business applications, to equip you with the solid foundational knowledge needed to progress in business analytics.＜/p＞＜p＞Assuming no prior knowledge of programming or statistics, this book takes a simple step-by-step approach which makes potentially intimidating topics easy to understand, by keeping Maths to a minimum and including examples of business analytics in practice.＜/p＞＜p＞Key features:＜/p＞＜p＞・ Introduces programming fundamentals using R and Python＜/p＞＜p＞・ Covers data structures, data management and manipulation and data visualization＜/p＞＜p＞・ Includes interactive coding notebooks so that you can build up your programming skills progressively＜/p＞＜p＞Suitable as an essential ...

洋書 Paperback, Kernel Mean Embedding of Distributions: A Review and Beyond (Foundations and Trends(r) in Machine Learning)

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価格￥20,313

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*** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個...

洋書 Paperback, Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems (Foundations and Trends in Machine Learning)

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価格￥18,500

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*** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個...

Image Processing and Machine Learning, Volume 1 Foundations of Image Processing【電子書籍】[ Erik Cuevas ]

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価格￥7,550

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＜p＞Image processing and machine learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, machine learning algorithms are used to interpret the processed data through classification, clustering, and object detection. This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches.＜/p＞＜p＞Divided into two volumes, this first installment explores the fundamental concepts and techniques in image processing, starting with pixel operations and their properties and exploring spatial filtering, edge detection, image segmentation, corner detection, and geometric transformations. It provides a solid foundation for readers interested in understanding the core principles and practical applications of image...

洋書 Paperback, Explaining the Success of Nearest Neighbor Methods in Prediction (Foundations and Trends(r) in Machine Learning)

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価格￥20,476

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*** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個...

Mathematical Foundation of Machine Learning A Comprehensive Exploration of the Mathematical Foundations Underpinning Machine Learning"【電子書籍】[ MADHURI SAHU (Dr.Mangala Madankar ]

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価格￥744

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＜p＞Embark on a transformative journey into the heart of machine intelligence with "The Essence of Learning." Authored by Madhuri Sahu, this book is a comprehensive guide for beginners and seasoned professionals, unraveling the mathematical foundations of machine learning.＜/p＞＜p＞From linear algebra to calculus, statistics, and probability theory, the author navigates through complex algorithms, demystifying foundational concepts with real-world examples. With a focus on clarity and practicality, the book seamlessly bridges theory and application, providing readers with the tools to comprehend and implement machine learning algorithms effectively.＜/p＞＜p＞Boasting an intuitive learning approach, practical applications, and comprehensive coverage of essential topics, this book is accessible to all levels of readers. "The Essence of Learning" equips you with the knowledge and confidence to navigate the evolving landscape of artificial intelligence, making a meaningful contribu...

洋書 Now Publishers Inc Paperback, On the Concentration Properties of Interacting Particle Processes (Foundations and Trends(r) in Machine Learning)

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価格￥2,436

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*** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個...

Patterns, Predictions, and Actions: Foundations of Machine Learning PATTERNS PREDICTIONS & ACTIONS [ Moritz Hardt ]

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価格￥16,614

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PATTERNS PREDICTIONS & ACTIONS Moritz Hardt Benjamin Recht PRINCETON UNIV PR2022 Hardcover English ISBN：9780691233734 洋書 Computers & Science（コンピューター＆科学） Computers

MATHEMATICAL FOUNDATIONS OF MACHINE LEARNING Unveiling the Mathematical Essence of Machine Learning (2024 Guide for Beginners)【電子書籍】[ DAVID MACKAY ]

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価格￥906

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＜p＞"Mathematical Foundations of Machine Learning" delves into the fundamental mathematical concepts that underpin the field of machine learning, providing a comprehensive exploration of the mathematical principles behind algorithms and models. Whether you're a data scientist, researcher, or enthusiast seeking a deeper understanding of the mathematical intricacies driving machine learning, this book equips you with the knowledge and insights necessary to navigate the complex landscape of modern AI.＜/p＞＜ul＞＜li＞＜strong＞Core Mathematical Concepts:＜/strong＞ Explore the essential mathematical foundations essential for understanding machine learning, including linear algebra, calculus, probability theory, and optimization. Gain a solid grasp of these fundamental concepts and their applications in designing, analyzing, and interpreting machine learning algorithms and models.＜/li＞＜li＞＜strong＞Rigorous Theoretical Framework:＜/strong＞ Delve into the theoretical underpinni...

（出版社）The MIT Press Foundations of Machine Learning 1冊 978-0-262-01825-8

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価格￥17,869

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（出版社）The　MIT　Press Foundations of Machine Learning 1冊●著者：Mohri, Mehryar/Rostamizadeh, Afshin/Talwalkar, Ameet●和文：機械学習入門●頁数他：480 p.●装丁：Hard●出版社：The MIT Press●発行日：2012/9/7

Foundations of Machine Learning, second edition【電子書籍】[ Mehryar Mohri ]

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価格￥9,079

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＜p＞＜strong＞A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.＜/strong＞＜/p＞＜p＞This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics.＜/p＞＜p＞＜em＞Foundations of Machine Learning＜/em＞ is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework;...