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    Statistical Learning from a Regression Perspective

    Posted By: AvaxGenius
    Date: 25 Sep 2022 11:44:02
    Statistical Learning from a Regression Perspective

    Statistical Learning from a Regression Perspective by Richard A. Berk
    English | PDF(True) | 2016 | 364 Pages | ISBN : 3319829696 | 7.9 MB

    This textbook considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response. As a first approximation, this can be seen as an extension of nonparametric regression.
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    An Introduction to Machine Learning, Third Edition

    Posted By: AvaxGenius
    Date: 25 Sep 2021 17:54:42
    An Introduction to Machine Learning, Third Edition

    An Introduction to Machine Learning, Third Edition by Miroslav Kubat
    English | PDF,EPUB | 2021 | 458 Pages | ISBN : 3030819345 | 19.9 MB

    This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. This Third Edition covers newer approaches that have become highly topical, including deep learning, and auto-encoding, introductory information about temporal learning and hidden Markov models, and a much more detailed treatment of reinforcement learning. The book is written in an easy-to-understand manner with many examples and pictures, and with a lot of practical advice and discussions of simple applications.
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    Machine Learning: Theoretical Foundations and Practical Applications

    Posted By: AvaxGenius
    Date: 19 Apr 2021 18:32:52
    Machine Learning: Theoretical Foundations and Practical Applications

    Machine Learning: Theoretical Foundations and Practical Applications by Manjusha Pandey
    English | PDF | 2021 | 178 Pages | ISBN : 981336517X | 6.5 MB

    This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9–12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms.
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    An Introduction to Statistical Learning: with Applications in R (Corrected at 8th printing 2017)

    Posted By: AvaxGenius
    Date: 9 Aug 2020 13:01:35
    An Introduction to Statistical Learning: with Applications in R (Corrected at 8th printing 2017)

    An Introduction to Statistical Learning: with Applications in R by Gareth James
    English | PDF,EPUB (True) | 2013 (Corrected at 8th printing 2017) | 434 Pages | ISBN : 1461471370 | 14.62 MB

    An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years.
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