Machine Learning. A First Course for Engineers and Scientists, Hardback - ***

This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is s...

Suitable for engineering and sciences students, this book emphasizes modern statistical methodology and data analysis.

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Monte Carlo techniques have increasingly become a key method used in quantitative research. This book introduces engineers and scientists to the ba...

Introduce the power and practicality of C++ programming to entry-level engineers with Bronson's C++ FOR ENGINEERS AND SCIENTISTS, 4E. This proven, ...

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. Fun...

Featuring recent advances in probability, statistics, and stochastic processes, this new textbook presents Probability and Statistics, and an intro...

Publisher: Elsevier Science & TechnologyAuthor(s): Brian (Former Professor, Department of Mathematics and Applied Mathematics, University of Cape T...

Focuses on underlying principles that are important to students in a range of disciplines. This book emphasizes the interpretation of results, the ...

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Reducere. Contributor(s): Author: Edward R. ScheinermanIllustrator: Jonah ScheinermanMathematics is a language with a unique vocabulary, written with a dizzy...

Publisher: Pearson Education LimitedAuthor(s): Sharon MyersNumber of pages: 480Publication date: 2013Dimensions: 219 x 279 x 27Cover type: Paperbac...

Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused o...

Publisher: Elsevier Science Publishing Co IncAuthor(s): Alexandre (Associate Professor, Department of Electrical Engineering and Computer Sciences ...

Publisher: Cengage Learning, IncAuthor(s): Debora (United States Naval Academy) KatzNumber of pages: 1424Publication date: 2016Dimensions: 227 x 28...

Maximize your course success by making the most of what Serway/Jewett's PHYSICS FOR SCIENTISTS AND ENGINEERS WITH MODERN PHYSICS, Tenth Edition, ha...

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Reducere. DescriptionThere is a wealth of literature and books available to engineers starting to understand what machine learning is and how it can be used ...

Bridging the gap between traditional books on quantum and statistical physics, this series is an ideal introductory course for students who are loo...

DescriptionBridging the gap between traditional books on quantum and statistical physics, this series is an ideal introductory course for students ...

Quantum Mechanics for Scientists and Engineers - David A. B. Miller

Contributor(s): Author: Muller Andreas C.Author: Sarah GuidoMachine learning has become an integral part of many commercial applications and resear...

Contributor(s): Author: Alice ZhengAuthor: Amanda CasariFeature engineering is a crucial step in the machine-learning pipeline, yet this topic is r...

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Intended forupper-level undergraduate and graduate courses in chemistry, physics, math andengineering, this book will also become a must-have for t...

Publisher: Pearson Education LimitedAuthor(s): Randall KnightNumber of pages: 1324Publication date: 2022Dimensions: 230 x 276 x 53Cover type: Paper...

The book places a clear emphasis of the impact of information technology on the business world, drawing on recent literature and examples. Similarl...

Reducere. The triumphant vindication of bold theories-are these not the pride and justification of our life's work? -Sherlock Holmes, The Valley of Fear Sir ...

Publisher: Cengage Learning, IncAuthor(s): Daryl (University of Wisconsin, Platteville) LoganNumber of pages: 976Publication date: 2022Dimensions: ...

Publisher: Elsevier Science & TechnologyAuthor(s): Paul (Head of Imaging Science, Perspectum Ltd.) AljabarNumber of pages: 464Publication date: 202...

Publisher: Cengage Learning, IncAuthor(s): Steven (US Military Academy) HortonNumber of pages: 704Publication date: 2013Dimensions: 193 x 239 x 33C...