Mathematical Optimization Machine Learning (54 results)
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Paperback or Softback. Condition: New. Applications of Data Analytics, Machine Learning, AI and Mathematical Optimization Principles. Book.
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Math Optimization for Artificial Intelligence: Heuristic and Metaheuristic Methods for Robotics and Machine Learning (Mathematical Methods in the Digital Age, 2)
Kumar Lilhore, Umesh; Dutt, Vishal; Kumar, T. Ananth; Margala, Martin; Raahemifar, Kaamran
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Taschenbuch. Condition: Neu. Neuware - Artificial intelligence is powered by mathematics. Behind every machine learning model, neural network, and large language model lies a foundation of linear algebra, calculus, probability, statistics, and optimization. Understanding these mathematical principles is the key to moving beyond…using AI tools to truly understanding how they work. Mathematics of Artificial Intelligence is a comprehensive, beginner-friendly guide that builds the mathematical foundation required for modern AI, machine learning, deep learning, and generative AI. Starting with essential algebra and progressing through advanced topics, this book explains every concept with clear language, step-by-step worked examples, practical visualizations, and real-world AI applications. Rather than presenting mathematics as abstract theory, each chapter connects mathematical ideas directly to artificial intelligence, helping readers understand how algorithms learn from data, make predictions, optimize performance, and power today's intelligent systems. Inside this book, you'll learn: Essential algebra and mathematical foundationsLinear algebra for machine learningVector spaces, matrices, and matrix operationsEigenvalues, eigenvectors, and singular value decompositionDifferential and integral calculusPartial derivatives and gradientsMultivariable calculus for neural networksProbability theory and statistical inferenceRandom variables and probability distributionsBayesian statistics and conditional probabilityOptimization techniques including gradient descentConvex optimization fundamentalsInformation theory and entropyThe mathematics behind deep learningNeural networks and backpropagationTransformers, attention mechanisms, and large language modelsNumerical methods for AI>Each chapter includes: Clear explanations written for beginnersMultiple fully worked examplesAI application boxes connecting theory to practiceHigh-quality illustrations and diagramsPython code examplesPractice exercises with complete solutions>Whether you're a student, software developer, data scientist, engineer, researcher, or self-learner, this book provides the mathematical knowledge needed to understand modern artificial intelligence with confidence. If you want to move beyond treating AI as a black box and develop a deep understanding of the mathematics that powers today's most advanced models, Mathematics of Artificial Intelligence is your complete learning companion.
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Mathematical Optimization for Machine Learning : Proceedings of the Math+ Thematic Einstein Semester 2023
Fackeldey, Konstantin (EDT); Kannan, Aswin (EDT); Pokutta, Sebastian (EDT); Sharma, Kartikey (EDT); Walter, Daniel (EDT)
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Mathematical Optimization for Machine Learning : Proceedings of the Math+ Thematic Einstein Semester 2023
Fackeldey, Konstantin (EDT); Kannan, Aswin (EDT); Pokutta, Sebastian (EDT); Sharma, Kartikey (EDT); Walter, Daniel (EDT)
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Mathematical Optimization for Machine Learning : Proceedings of the Math+ Thematic Einstein Semester 2023
Fackeldey, Konstantin (EDT); Kannan, Aswin (EDT); Pokutta, Sebastian (EDT); Sharma, Kartikey (EDT); Walter, Daniel (EDT)
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Mathematical Optimization for Machine Learning
Konstantin Fackeldey|Aswin Kannan|Sebastian Pokutta|Kartikey Sharma|Daniel Walter
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Seller: moluna, Greven, Germanymoluna
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Hardcover. Condition: New. M. Weiser, S. Pokutta, K. Sharma, ZIB, Germany K. Fackeldey, TU Berlin A. Kannan, D. Walter, A. Walther, Humboldt-Univ. Germany. Mathematical optimization and machine learning are closely re.
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Computational Optimization: Machine Learning and Fuzzy Systems (Mathematical Methods in the Digital Age)
Kaur, Narinder (Editor)/ Kaur, Bobbinpreet (Editor)/ Gulzar, Yonis (Editor)/ Le, Dac-Nhuong (Editor)
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Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 313 pages. 6.69x0.75x9.61 inches. In Stock.
