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Large-scale kernel machines
Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale linearly with the volume of the data while maintaining enough statistical efficiency to outperform algorithms that simply process a random subset o…
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- ISBN/ISSN
- 0262255790
- Collation
- 1 online resource (xii, 396 pages) :illustrations.
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Learning with kernels :support vector machines, regularization, optimization,…
In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs -- -kernels--for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by…
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- ISBN/ISSN
- 9780262256933
- Collation
- 1 online resource (xviii, 626 pages) :illustrations.
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Learning kernel classifiers :theory and algorithms
Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier--a limited, but well-established and comprehensively studied model--and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis. This…
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- ISBN/ISSN
- 9780262256339
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- 1 online resource (xx, 364 pages) :illustrations.
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Semi-supervised learning
A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems, this text looks at state-of-the-art algorithms, applications benchmark experiments, and directions for future research.OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262255899
- Collation
- 1 online resource (x, 508 pages) :illustrations.
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Robot shaping :an experiment in behavior engineering
"A Bradford book."Foreword by Lashon BookerTo program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction with its environment and then adapt its behavior, greatly simplifies the designer's wor…
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- ISBN/ISSN
- 0585031037
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- 1 online resource (xviii, 203 pages) :illustrations.
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A Hands-On Introduction to Machine Learning
Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science. All the necessary topics are covered, including supervised and …
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- 9781009122092
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Predictive Analytics with Microsoft Azure Machine Learning
Analisis Prediktif dengan Microsoft Azure Machine Learning, Edisi Kedua adalah pengantar tutorial praktis untuk bidang ilmu data dan pembelajaran mesin, dengan fokus pada pembuatan dan penerapan model prediktif, Buku ini memberikan gambaran menyeluruh tentang layanan Pembelajaran Mesin Microsoft Azure yang dirilis untuk ketersediaan umum pada 18 Februari 2015 dengan panduan praktis untuk rekome…
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- Edisi 2
- ISBN/ISSN
- 978-1-4842-1200-4
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- 006.34 BAR p
A First Course in Statistical Programming with R
This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll…
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- ISBN/ISSN
- 9781108993456
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A First Course in Statistical Programming with R
This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-brea…
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- 9780511803642
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