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  • Handbook of Monte Carlo Methods

    Series Book 706 - Wiley Series in Probability and Statistics
    A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and real-world applicationsMore and more of today’s numerical problems found in engineering and finance are solved through Monte Carlo methods. The heightened popularity of these methods and their continuing development makes it important for researchers to have a comprehensive understanding of the ... Read more

    $206.99 CAD

  • Data Science and Machine Learning

    Mathematical and Statistical Methods, Second Edition

    Series series Chapman & Hall/CRC Machine Learning & Pattern Recognition
    Praise for the first edition:“In nine succinct but information-packed chapters, the authors provide a logically structured and robust introduction to the mathematical and statistical methods underpinning the still-evolving field of AI and data science.”- Joacim Rocklöv and Albert A. Gayle, International Journal of Epidemiology, Volume 49, Issue 6“This book organizes the algorithms clearly and ... Read more

    $139.99 CAD

  • Statistical Modeling and Computation

    Series series Mathematics and Statistics (R0)
    This book, Statistical Modeling and Computation, provides a unique introduction to modern statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of mathematical statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications.The 2nd edition changes the programming language used in the text from ... Read more

    $167.99 CAD

  • Statistical Modeling and Computation

    Series series Mathematics and Statistics (R0)
    This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, ... Read more

    $128.99 CAD

  • Simulation and the Monte Carlo Method

    Series Book 10 - Wiley Series in Probability and Statistics
    This accessible new edition explores the major topics in Monte Carlo simulation that have arisen over the past 30 years and presents a sound foundation for problem solvingSimulation and the Monte Carlo Method, Third Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the state-of-the-art theory, methods and applications that have emerged ... Read more

    $159.99 CAD

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    A Concise yet In-Depth Guide on Fundamentals of Computer Vision, NLP, Complex Deep Neural Networks and Machine Learning (English Edition)

    To construct a system that may be referred to as having ‘Artificial Intelligence,’ it is important to develop the capacity to design algorithms capable of performing data-based automated decision-making in conditions of uncertainty. Now, to accomplish this goal, one needs to have an in-depth understanding of the more sophisticated components of linear algebra, vector calculus, probability, and ... Read more

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  • Math for Machine Learning

    Linear Algebra, Calculus, and Probability Explained

    Master the Mathematical Foundation Every Machine Learning Engineer NeedsAre you implementing machine learning algorithms without truly understanding the mathematical principles that power them? Do complex ML concepts feel like black boxes because you lack the mathematical foundation to see inside them? This comprehensive guide bridges the gap between mathematical theory and practical machine ... Read more

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  • The Mathematics of Large Language Models

    From Tokens to Transformers, Training to Decoding

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    "The Mathematics of Large Language Models: From Tokens to Transformers, Training to Decoding""The Mathematics of Large Language Models" bridges the gap between high-level intuition and rigorous implementation. This book is designed for machine learning engineers, data scientists, and researchers who demand a precise mathematical understanding of how modern generative AI functions. By peeling away ... Read more

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  • Practical Linear Algebra for Data Science

    From Core Concepts to Applications Using Python

    by Mike X Cohen ...
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  • Probability, Markov Chains, Queues, and Simulation

    The Mathematical Basis of Performance Modeling

    Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic processes play a ... Read more

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  • Elements of Programming

    “Ask a mechanical, structural, or electrical engineer how far they would get without a heavy reliance on a firm mathematical foundation, and they will tell you, ‘not far.’ Yet so-called software engineers often practice their art with little or no idea of the mathematical underpinnings of what they are doing. And then we wonder why software is notorious for being delivered late and full of bugs, ... Read more

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  • Math for Programming

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