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Physics of Data Science and Machine Learning

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Release : 2021-11-28
Genre : Computers
Kind : eBook
Book Rating : 473/5 ( reviews)

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Book Synopsis Physics of Data Science and Machine Learning by : Ijaz A. Rauf

Download or read book Physics of Data Science and Machine Learning written by Ijaz A. Rauf. This book was released on 2021-11-28. Available in PDF, EPUB and Kindle. Book excerpt: Physics of Data Science and Machine Learning links fundamental concepts of physics to data science, machine learning, and artificial intelligence for physicists looking to integrate these techniques into their work. This book is written explicitly for physicists, marrying quantum and statistical mechanics with modern data mining, data science, and machine learning. It also explains how to integrate these techniques into the design of experiments, while exploring neural networks and machine learning, building on fundamental concepts of statistical and quantum mechanics. This book is a self-learning tool for physicists looking to learn how to utilize data science and machine learning in their research. It will also be of interest to computer scientists and applied mathematicians, alongside graduate students looking to understand the basic concepts and foundations of data science, machine learning, and artificial intelligence. Although specifically written for physicists, it will also help provide non-physicists with an opportunity to understand the fundamental concepts from a physics perspective to aid in the development of new and innovative machine learning and artificial intelligence tools. Key Features: Introduces the design of experiments and digital twin concepts in simple lay terms for physicists to understand, adopt, and adapt. Free from endless derivations; instead, equations are presented and it is explained strategically why it is imperative to use them and how they will help in the task at hand. Illustrations and simple explanations help readers visualize and absorb the difficult-to-understand concepts. Ijaz A. Rauf is an adjunct professor at the School of Graduate Studies, York University, Toronto, Canada. He is also an associate researcher at Ryerson University, Toronto, Canada and president of the Eminent-Tech Corporation, Bradford, ON, Canada.

The Statistical Physics of Data Assimilation and Machine Learning

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Release : 2022-02-17
Genre : Computers
Kind : eBook
Book Rating : 635/5 ( reviews)

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Book Synopsis The Statistical Physics of Data Assimilation and Machine Learning by : Henry D. I. Abarbanel

Download or read book The Statistical Physics of Data Assimilation and Machine Learning written by Henry D. I. Abarbanel. This book was released on 2022-02-17. Available in PDF, EPUB and Kindle. Book excerpt: The theory of data assimilation and machine learning is introduced in an accessible manner for undergraduate and graduate students.

Data-Driven Science and Engineering

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Release : 2022-05-05
Genre : Computers
Kind : eBook
Book Rating : 489/5 ( reviews)

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Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton

Download or read book Data-Driven Science and Engineering written by Steven L. Brunton. This book was released on 2022-05-05. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Data Science and Machine Learning

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Release : 2019-11-20
Genre : Business & Economics
Kind : eBook
Book Rating : 778/5 ( reviews)

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Book Synopsis Data Science and Machine Learning by : Dirk P. Kroese

Download or read book Data Science and Machine Learning written by Dirk P. Kroese. This book was released on 2019-11-20. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code

Deep Learning For Physics Research

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Release : 2021-06-25
Genre : Science
Kind : eBook
Book Rating : 476/5 ( reviews)

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Book Synopsis Deep Learning For Physics Research by : Martin Erdmann

Download or read book Deep Learning For Physics Research written by Martin Erdmann. This book was released on 2021-06-25. Available in PDF, EPUB and Kindle. Book excerpt: A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter optimization is sufficient to jump-start deep learning. Adopting a pragmatic approach, basic and advanced applications in physics research are described. Also offered are simple hands-on exercises for implementing deep networks for which python code and training data can be downloaded.

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