博客來Unlock the Power of Machine Learning Across Industries! Discover cutting-edge applications and essential insights in ’Exploring Boundaries: Machine Learning Scope in Modern Applications.’ From healthcare to finance, autonomous systems to natural language processing, this comprehensive guide navigates the diverse landscape of machine learning, offering invaluable knowledge for professionals and enthusiasts alike. Dive in and explore the limitless potential of machine learning in today’s world.
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Exploring Boundaries: Machine Learning Scope in Modern Applications 作者：Saraswat 出版社：LAP Lambert Academic Publishing 出版日期：2024-04-02 語言：英文 規格：平裝 / 64頁 / 22.86 x 15.24 x 0.38 cm / 普通級/ 初版 |
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圖書名稱：Exploring Boundaries: Machine Learning Scope in Modern Applications
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Rules for Eternity
Africa’s Propensity for a Net Zero Energy Transition
Plastic Additives: An Introduction to Stabilizers, Functional and Biobased Additives
Practical Chemistry: Transition Metals
Modelling Stochastic Uncertainties: From Monte Carlo Simulations to Game Theory
Vehicle Technology: Vehicle Dynamics, Electro Mobility, Vehicle Electrics, Autonomous Vehicles, Hmi
Biopolymers and Biopolymer Blends: Fundamentals, Processes, and Emerging Applications
Fundamentals of Industrial Instrumentation
Nanomechanics for Coatings and Engineering Surfaces: Test Methods, Development Strategies, Modeling Approaches, and Applications
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