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Technology eBook Series

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  • Data-Driven Decisions: An Introduction to Machine Learning

    Technology

    by Nandini K ...
    Series series Technology
    Data-Driven Decisions: An Introduction to Machine Learning provides a comprehensive and accessible introduction to the principles and applications of machine learning for students, professionals, and decision-makers. Combining theoretical foundations with practical examples, this book guides readers through key concepts such as supervised and unsupervised learning, feature engineering, model ... Read more

    PHP2,402.33

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  • Data Mining

    Practical Machine Learning Tools and Techniques

    by Eibe Frank, Mark A. Hall, Ian H. Witten ...
    Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about ... Read more

    PHP3,503.69

  • Data Analysis and Data Mining

    An Introduction

    by Adelchi Azzalini, Bruno Scarpa ...
    An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both those working in communications and those working in a technological or scientific capacity-who have ... Read more

    PHP7,927.19

  • Data Mining

    Practical Machine Learning Tools and Techniques, Second Edition

    by Eibe Frank, Ian H. Witten ...
    Series series The Morgan Kaufmann Series in Data Management Systems
    Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an ... Read more

    PHP4,019.29

  • Understanding Machine Learning

    From Theory to Algorithms

    by Shai Shalev-Shwartz, Shai Ben-David ...
    Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical ... Read more

    PHP3,788.29

  • Introduction to Machine Learning, fourth edition

    by Ethem Alpaydin ...
    Series series Adaptive Computation and Machine Learning series
    A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as self-driving cars, speech recognition, and translation applications. This ... Read more

    PHP3,991.19

  • System Identification

    Theory for the User

    by Lennart Ljung ...
    The field's leading text, now completely updated.Modeling dynamical systems — theory, methodology, and applications.Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and ... Read more

    PHP8,315.29

  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    by Jay Dawani ...
    A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, ... Read more

    PHP1,690.19 or Free with Kobo Plus

  • Hands-On Unsupervised Learning with Python

    Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more

    by Giuseppe Bonaccorso ...
    Discover the skill-sets required to implement various approaches to Machine Learning with PythonKey FeaturesExplore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and moreBuild your own neural network models using modern Python librariesPractical examples show you how to implement different machine learning and deep learning techniquesBook DescriptionUnsupervised ... Read more

    PHP2,021.39 or Free with Kobo Plus

  • Artificial Intelligence 2024 Book 2 of 2

    AI, #2

    by Yang Yen Thaw ...
    Series Book 2 - AI
    The book is about Artificial Intelligence for Business in Industry 4.0: Demystified by Yang Yen Thaw and includes generative AI. It is an extensive guide designed to make AI concepts accessible and applicable for business and enterprise use. It features 111 AI terms and explanations, along with a practical case study to illustrate AI implementation.The book is structured to cover a broad range of ... Read more

    PHP1,971.15

  • Machine Learning - A Journey To Deep Learning: With Exercises And Answers

    by Andreas Miroslaus Wichert, Luis Sa-couto ...
    This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives — the statistical perspective, the artificial neural network perspective and the deep learning methodology.The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning ... Read more

    PHP7,428.79

  • Algorithms for Optimization

    by Mykel J. Kochenderfer, Tim A. Wheeler ...
    A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems.This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will ... Read more

    PHP4,434.69