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1 - 12 de 12 resultados para “uday kamath”
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  • Mastering Java Machine Learning

    A Java developer's guide to implementing machine learning and big data architectures

    de Krishna Choppella, Uday Kamath ...
    Become an advanced practitioner with this progressive set of master classes on application-oriented machine learningKey Features\[\*\] Comprehensive coverage of key topics in machine learning with an emphasis on both the theoretical and practical aspects\[\*\] More than 15 open source Java tools in a wide range of techniques, with code and practical usage.\[\*\] More than 10 real-world case ... Leer más

    $44.99 USD o gratis con Kobo Plus

  • Machine Learning: End-to-End guide for Java developers

    Data Analysis, Machine Learning, and Neural Networks simplified

    de Richard M. Reese, Bostjan Kaluza, Dr. Uday Kamath, Jennifer L. Reese, Krishna Choppella ...
    Develop, Implement and Tuneup your Machine Learning applications using the power of Java programmingAbout This BookDetailed coverage on key machine learning topics with an emphasis on both theoretical and practical aspectsAddress predictive modeling problems using the most popular machine learning Java librariesA comprehensive course covering a wide spectrum of topics such as machine learning and ... Leer más

    $68.99 USD o gratis con Kobo Plus

  • Transformers for Machine Learning

    A Deep Dive

    de Uday Kamath, Wael Emara, Kenneth Graham ...
    Series series Chapman & Hall/CRC Machine Learning & Pattern Recognition
    Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers.Key Features ... Leer más

    $66.99 USD

  • Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning

    de Uday Kamath, John Liu ...
    Series series Computer Science (R0)
    This book is written both for readers entering the field, and for practitioners with a background in AI and an interest in developing real-world applications. The book is a great resource for practitioners and researchers in both industry and academia, and the discussed case studies and associated material can serve as inspiration for a variety of projects and hands-on assignments in a classroom ... Leer más

    $134.99 USD

  • Deep Learning for NLP and Speech Recognition

    de Uday Kamath, John Liu, James Whitaker ...
    Series series Computer Science (R0)
    This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one ... Leer más

    $80.99 USD

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  • Causal Inference in Statistics

    A Primer

    de Judea Pearl, Madelyn Glymour, Nicholas P. Jewell ...
    CAUSAL INFERENCE IN STATISTICSA PrimerCausality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written ... Leer más

    $42.00 USD

  • Computer Age Statistical Inference

    Algorithms, Evidence, and Data Science

    de Bradley Efron, Trevor Hastie ...
    Series Libro 5 - Institute of Mathematical Statistics Monographs
    The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating ... Leer más

    $72.99 USD

  • Introduction to Machine Learning, fourth edition

    de 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 ... Leer más

    $52.99 USD

  • Artificial Intelligence

    With an Introduction to Machine Learning, Second Edition

    de Richard E. Neapolitan, Xia Jiang ...
    Series series Chapman & Hall/CRC Artificial Intelligence and Robotics Series
    The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods.The book is divided into five ... Leer más

    $62.99 USD

  • Fundamentals of Machine Learning for Predictive Data Analytics, second edition

    Algorithms, Worked Examples, and Case Studies

    de John D. Kelleher, Brian Mac Namee, Aoife D'Arcy ...
    The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and ... Leer más

    $49.99 USD

  • Statistical Analysis Techniques in Particle Physics

    Fits, Density Estimation and Supervised Learning

    de Ilya Narsky, Frank C. Porter ...
    Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students. ... Leer más

    $102.00 USD

  • Programming Hive

    Data Warehouse and Query Language for Hadoop

    de Edward Capriolo, Dean Wampler, Jason Rutherglen ...
    Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem.This example-driven guide shows you how to set up and configure Hive in your environment, provides ... Leer más

    $24.99 USD