Author:-Bernd Heesen. Format:-Trade Paperback.
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Title:-Big Data, Iot, and Machine Learning : Tools and Applications. Author:-Marcin Paprzycki. Publisher:-CRC Press LLC. Genre:-Industrial Engineering Computers Textbook.
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ISBN-13: 9783030885694, 978-3030885694.
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Computational and Machine Learning Tools for Archaeological Site Modeling, Paperback by Castiello, Maria Elena, ISBN 3030885690, ISBN-13 9783030885694, Like New Used, Free P&P in the UK
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Machine Learning for Industrial Applications 9781394268962 Brand New
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Title:-Machine Learning in Production : from Models to Products. Author:-Christian Kastner. Publisher:-MIT Press.
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Data Mining: Practical Machine Learning Tools and Techniques - Paperback (26b).
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Title:-Data Mining : Practical Machine Learning Tools and Techniques.
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Fundamentals and Methods of Machine and Deep Learning – Algorithms, Tools, and Applications 9781119821250 Brand New
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By Rashmi Agrawal, Marcin Paprzycki, Neha Gupta. Rashmi Agrawal is a PhD and UGC-NET qualified, with 18-plus years of experience in teaching and research. She has also edited/authored books and chapters with national/international publishers (IGI global, Springer, Elsevier, CRC Press, Apple academic press).
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Machine and Deep Learning Using MATLAB: Algorithms and Tools for Scientists and Engineers; Algorithms and Tools for Scientists and Engineers Brand New
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Machine Learning and Artificial Intelligence in Healthcare Systems : Tools and Techniques, Hardcover by Shaikh, Tawseef Ayoub (EDT); Hakak, Saqib (EDT); Rasool, Tabasum (EDT); Wasid, Mohammed (EDT), ISBN 1032208309, ISBN-13 9781032208305, Like New Used, Free P&P in the UK This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.
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Discrete Stochastic Processes. It covers recurrence properties of (excited) random walks, convergence and mixing of Markov chains, distribution modeling using phase-type distributions, applications to search engines and probabilistic automata, and an introduction to the Ising model used in statistical physics.
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Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field.
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COMPUTERS / Machine Theory. Pages Count - 192. Binding type - Perfect. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.
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Data Mining; Practical Machine Learning Tools and Techniques 9780443158889 Brand New
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It highlights the different aspects of using extended reality for diverse healthcare applications and aggregates the current state of research.
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How to prepare your data for processing. How to code a collaborative filtering model.
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Just Enough Data Science and Machine Learning, authors Mark Levene and Martyn Harris present a comprehensive and accessible introduction to data science. An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science.
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Author:-Anthony Sarkis. Title:-Training Data for Machine Learning : Human Supervision from Annotation to Data Science. Format:-Trade Paperback.
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