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Found 55 from your keywords: subject="Machine Learning"
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cover
Robot shaping :an experiment in behavior engineering
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Dorigo, Marco.Colombetti, Marco.

"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…

Edition
-
ISBN/ISSN
0585031037
Collation
1 online resource (xviii, 203 pages) :illustrations.
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-
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-
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cover
A Hands-On Introduction to Machine Learning
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Chirag Shah

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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-
ISBN/ISSN
9781009122092
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cover
Predictive Analytics with Microsoft Azure Machine Learning
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Barga, RogerFontama, ValentineTok, Wee Hyong

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…

Edition
Edisi 2
ISBN/ISSN
978-1-4842-1200-4
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-
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-
Call Number
006.34 BAR p
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cover
A First Course in Statistical Programming with R
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BRAUN,W.JohnMURDOCH,Duncan J.

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…

Edition
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ISBN/ISSN
9781108993456
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cover
A First Course in Statistical Programming with R
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BRAUN,W.JohnMURDOCH,Duncan J.

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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ISBN/ISSN
9780511803642
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