149 rezultatov
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Genetic Algorithms and Machine Learning for Programmers(2019) BUONTEMPO, FRANCESVezava: Mehka67,97 € -
Cambridge Series in Statistical and Probabilistic Mathematics(2019) MARTIN J. WAINWRIGHTVezava: Trda110,24 € -
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Artificial Intelligence and Software Testing(2022) SMITH, ADAM LEON,BLACK, REX,DAVENPORT, JAMES,OLSZEWSKA, JOANNA,ROßLER, JEREMIAS,WRIGHT, JONATHONAI presents a new paradigm in the development of software, representing the biggest change to how we think about quality and testing in decades. Many well known issues around AI manifest as quality management problems. This book explores AI from that anglVezava: Mehka60,28 € -
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Statistical Physics of Data Assimilation and Machine Learning(2022) ABARBANEL, HENRY D. I. (UNIVERSITY OF CALIFORNIA, SAN DIEGO)The theory of data assimilation and machine learning is introduced in an accessible and pedagogical manner, with a focus on the underlying statistical physics. This modern and cross-disciplinary book is suitable for undergraduate and graduate students froVezava: Trda98,36 € -
Introduction to Applied Linear Algebra(2018) BOYD, STEPHEN (STANFORD UNIVERSITY, CALIFORNIA),VANDENBERGHE, LIEVEN (UNIVERSITY OF CALIFORNIA, LOS ANGELES)A groundbreaking introductory textbook covering the linear algebra methods needed for data science and engineering applications. It combines straightforward explanations with numerous practical examples and exercises from data science, machine learning anVezava: Trda69,53 € -
Control Systems and Reinforcement Learning(2022) MEYN, SEAN (UNIVERSITY OF FLORIDA)The book is written for newcomers to reinforcement learning who wish to write code for various applications, from robotics to power systems to supply chains. It also contains advanced material designed to prepare graduate students and professionals for boVezava: Trda84,79 € -
Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning(2020) GALLIER, JEAN H (UNIV OF PENNSYLVANIA, USA),QUAINTANCE, JOCELYN (UNIV OF PENNSYLVANIA, USA)Vezava: Mehka132,89 € -
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Machine Learning - A First Course for Engineers and Scientists(2022) ANDREAS LINDHOLMVezava: Trda93,27 € -
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Machine Learning for Computer Scientists and Data Analysts(2022) RAFATIRAD, SETAREH,HOMAYOUN, HOUMAN,CHEN, ZHIQIAN,PUDUKOTAI DINAKARRAO, SAI MANOJThis textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks.Vezava: Trda141,74 € -
High-Dimensional Data Analysis with Low-Dimensional Models(2022) WRIGHT, JOHN (COLUMBIA UNIVERSITY, NEW YORK),MA, YI (UNIVERSITY OF CALIFORNIA, BERKELEY)A systematic introduction to the theory, algorithms, and applications of key mathematical models for data science. Covering applications including imaging, communication, and face recognition, with online code, it is ideal for senior/graduate students inVezava: Trda106,84 € -
Compressive Imaging: Structure, Sampling, Learning(2021) ADCOCK, BEN (SIMON FRASER UNIVERSITY, BRITISH COLUMBIA),HANSEN, ANDERS C. (UNIVERSITY OF CAMBRIDGE)This book provides a practical introduction to compressive imaging (with examples and code), an overview of core topics, and a comprehensive, rigorous treatment of the subject. It caters to graduate students, postdocs and faculty in mathematics, computerVezava: Trda106,84 € -
Bandit Algorithms(2020) LATTIMORE, TOR (UNIVERSITY OF ALBERTA),SZEPESVARI, CSABA (UNIVERSITY OF ALBERTA)Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for gVezava: Trda71,22 €
