Novel Applications Of Machine Learning In Astronomy And Beyond

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Deep Learning For Physics Research

Author : Martin Erdmann
Publisher : World Scientific
ISBN 13 : 9811237476
Total Pages : 340 pages
Book Rating : 4.8/5 (112 download)

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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 and published by World Scientific. This book was released on 2021-06-25 with total page 340 pages. 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.

Master Machine Learning Algorithms

Author : Jason Brownlee
Publisher : Machine Learning Mastery
ISBN 13 :
Total Pages : 162 pages
Book Rating : 4./5 ( download)

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Book Synopsis Master Machine Learning Algorithms by : Jason Brownlee

Download or read book Master Machine Learning Algorithms written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2016-03-04 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: You must understand the algorithms to get good (and be recognized as being good) at machine learning. In this Ebook, finally cut through the math and learn exactly how machine learning algorithms work, then implement them from scratch, step-by-step.

Deep Space

Author : Govert Schilling
Publisher : Black Dog & Leventhal Publishers, Incorporated
ISBN 13 : 9780762487233
Total Pages : 0 pages
Book Rating : 4.4/5 (872 download)

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Book Synopsis Deep Space by : Govert Schilling

Download or read book Deep Space written by Govert Schilling and published by Black Dog & Leventhal Publishers, Incorporated. This book was released on 2024-07-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Join award-winning astronomy writer Govert Schilling on a journey through space and time to the most far-reaching corners of the universe in this stunning photographic voyage into deep space. This one-of-a-kind trip begins inside our own solar system with a brief tour of the sun, the planets and their moons, asteroids, comets, and dwarf planets. We then accelerate into deep space and, with Schilling as our guide, we explore the birth of stars in the Orion and Carina Nebulae; the death of stars, from red giants to catastrophic supernova explosions; and galaxies and galaxy clusters beyond our own including spiral galaxies, elliptical galaxies, and lenticular galaxies. We learn about supermassive black holes, which astronomers now believe exist at the center of every galaxy including our own, and exoplanets, billions of which are believed to be orbiting stars in the Milky Way and beyond. The book concludes at the edge of the cosmological horizon with a look at dark matter, dark energy, and theories of extraterrestrial life and the Multiverse. With hundreds of photographs, including new images from the James Webb Space Telescope, and custom illustrations throughout, as well as a star atlas that shows the full celestial sky, Deep Space is the perfect book for astronomy buffs, students, and anyone fascinated with the mystery and beauty of the cosmos.

Proceedings of the international conference on Machine Learning

Author : John Anderson
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (632 download)

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Book Synopsis Proceedings of the international conference on Machine Learning by : John Anderson

Download or read book Proceedings of the international conference on Machine Learning written by John Anderson and published by . This book was released on 19?? with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Strange New Worlds

Author : Ray Jayawardhana
Publisher : Princeton University Press
ISBN 13 : 069115807X
Total Pages : 278 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Strange New Worlds by : Ray Jayawardhana

Download or read book Strange New Worlds written by Ray Jayawardhana and published by Princeton University Press. This book was released on 2013-04-21 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes the science of planet hunters, the prospects for the discovery of alien life, and discusses the controversies surrounding extrasolar-planet research.

Modeling, Machine Learning and Astronomy

Author : Snehanshu Saha
Publisher : Springer Nature
ISBN 13 : 9813364637
Total Pages : 193 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Modeling, Machine Learning and Astronomy by : Snehanshu Saha

Download or read book Modeling, Machine Learning and Astronomy written by Snehanshu Saha and published by Springer Nature. This book was released on 2021-01-12 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Conference on Modeling, Machine Learning and Astronomy, MMLA 2019, held in Bangalore, India, in November 2019. The 11 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 63 submissions. They are organized in topical sections on modeling and foundations; machine learning applications; astronomy and astroinformatics.

Advances in Machine Learning and Data Mining for Astronomy

Author : Michael J. Way
Publisher : CRC Press
ISBN 13 : 143984173X
Total Pages : 746 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Advances in Machine Learning and Data Mining for Astronomy by : Michael J. Way

Download or read book Advances in Machine Learning and Data Mining for Astronomy written by Michael J. Way and published by CRC Press. This book was released on 2012-03-29 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines, the material discussed in this text transcends traditional boundaries between various areas in the sciences and computer science. The book’s introductory part provides context to issues in the astronomical sciences that are also important to health, social, and physical sciences, particularly probabilistic and statistical aspects of classification and cluster analysis. The next part describes a number of astrophysics case studies that leverage a range of machine learning and data mining technologies. In the last part, developers of algorithms and practitioners of machine learning and data mining show how these tools and techniques are used in astronomical applications. With contributions from leading astronomers and computer scientists, this book is a practical guide to many of the most important developments in machine learning, data mining, and statistics. It explores how these advances can solve current and future problems in astronomy and looks at how they could lead to the creation of entirely new algorithms within the data mining community.

5G and Beyond

Author : Parag Chatterjee
Publisher : CRC Press
ISBN 13 : 1000531864
Total Pages : 337 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis 5G and Beyond by : Parag Chatterjee

Download or read book 5G and Beyond written by Parag Chatterjee and published by CRC Press. This book was released on 2022-05-11 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Things (IoT) has seen the eventual shift to the "Internet of Everything" in the recent years, unveiling its ubiquitous presence spanning from smart transports to smart healthcare, from smart education to smart shopping. With the 5G rollouts across the different countries of the world, it raises newer perspectives toward the integration of 5G in IoT. For IoT-based smart devices, 5G not only means speed, but also better stability, efficiency, and more secure connectivity. The reach of 5G in IoT is extending in multifarious areas like self-driving vehicles, smart grids for renewable energy, AI-enabled robots on factory floors, intelligent healthcare services . . . The endless list is the real future of 5G in IoT. Features: Fundamental and applied perspectives to 5G integration in IoT Transdisciplinary vision with aspects of Artificial Intelligence, Industry 4.0, and hands-on practice tools Discussion of trending research issues in 5G and IoT As 5G technologies catalyze a paradigm shift in the domain of IoT, this book serves as a reference for the researchers in the field of IoT and 5G, proffering the landscape to the trending aspects as well as the key topics of discussion in the years to come.

Advancing Digital Humanities

Author : P. Arthur
Publisher : Springer
ISBN 13 : 113733701X
Total Pages : 372 pages
Book Rating : 4.1/5 (373 download)

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Book Synopsis Advancing Digital Humanities by : P. Arthur

Download or read book Advancing Digital Humanities written by P. Arthur and published by Springer. This book was released on 2014-12-03 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advancing Digital Humanities moves beyond definition of this dynamic and fast growing field to show how its arguments, analyses, findings and theories are pioneering new directions in the humanities globally.

First Light and Beyond

Author : D. A. Jenkins
Publisher : Springer
ISBN 13 : 3319188518
Total Pages : 310 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis First Light and Beyond by : D. A. Jenkins

Download or read book First Light and Beyond written by D. A. Jenkins and published by Springer. This book was released on 2015-07-28 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amateur astronomers who have been disappointed by the results of an observing session can take comfort in the guidance of this book, which advises how to still gain useful experience in seemingly "failed" nights at the telescope. In a world with imperfect seeing conditions, incredible observing sessions are often mixed with less inspiring ones, discouraging the amateur observer. This book is designed to minimize subsequent disappointment for astronomers who encounter a few bad observing sessions, helping novice observers take something worthwhile away each and every time they go out under the night sky, regardless of the observations that were originally planned. Almost every observer remembers his first sight of ringed Saturn, hanging in the blackness of space. Practitioners agree that there is something special about visual observing. Real-time observations at the eyepiece can provide fleeting yet intense feelings that connect us with the universe in unique ways. But when expectations aren't met at the eyepiece, there are other ways to profit from the practice of astronomy. These rewards, though less showy, are well worth cultivating. This is a book that will help the reader see what constitutes a “successful” visual observing session. It explains the nature of the objects that the observer is seeing and advises how best to use their equipment. There are many hints and tips about how best to locate, recall, and record observations, including suggestions for trips to areas where there are dark skies and to public observatories. Amateur astronomy is a journey from the urban backyard all the way to dark rural skies, and with this guide the journey can be smooth.

Human Factors and Simulation

Author : Julia Wright and Daniel Barber
Publisher : AHFE International
ISBN 13 : 1958651591
Total Pages : 273 pages
Book Rating : 4.9/5 (586 download)

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Book Synopsis Human Factors and Simulation by : Julia Wright and Daniel Barber

Download or read book Human Factors and Simulation written by Julia Wright and Daniel Barber and published by AHFE International. This book was released on 2023-07-19 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023), July 20–24, 2023, San Francisco, USA

Mathematica Beyond Mathematics

Author : José Guillermo Sánchez León
Publisher : CRC Press
ISBN 13 : 1000810852
Total Pages : 459 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Mathematica Beyond Mathematics by : José Guillermo Sánchez León

Download or read book Mathematica Beyond Mathematics written by José Guillermo Sánchez León and published by CRC Press. This book was released on 2022-12-19 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although many books have been written about Mathematica, very few of them cover the new functionality added to the most recent versions of the program. This thoroughly revised second edition of Mathematica Beyond Mathematics: The Wolfram Language in the Real World introduces the new features using real-world examples based on the experience of the author as a consultant and Wolfram certified instructor. The examples strike a balance between relevance and difficulty in terms of Mathematica syntax, allowing readers to incrementally build up their Mathematica skills as they go through the chapters While reading this book, you will also learn more about the Wolfram Language and how to use it to solve a wide variety of problems. The author raises questions from a wide range of topics and answers them by taking full advantage of Mathematica's latest features. For example: What sources of energy does the world really use? Are our cities getting warmer? Is the novel El Quixote written in Pi? Is it possible to reliably date the Earth using radioactive isotopes? How can we find planets outside our solar system? How can we model epidemics, earthquakes and other natural phenomena? What is the best way to compare organisms genetically? This new edition introduces the new capabilities added to the latest version of Mathematica (version 13), and discusses new topics related to machine learning, big data, finance economics, and physics. New to the Second Edition Separate sections containing carefully selected additional resources that can be accessed from either Mathematica or online Online Supplementary materials including code snippets used in the book and additional examples. Updated commands to take full advantage of Mathematica 13.

Machine Learning for Physics and Astronomy

Author : Viviana Acquaviva
Publisher : Princeton University Press
ISBN 13 : 0691249539
Total Pages : 281 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis Machine Learning for Physics and Astronomy by : Viviana Acquaviva

Download or read book Machine Learning for Physics and Astronomy written by Viviana Acquaviva and published by Princeton University Press. This book was released on 2023-05-23 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on introduction to machine learning and its applications to the physical sciences As the size and complexity of data continue to grow exponentially across the physical sciences, machine learning is helping scientists to sift through and analyze this information while driving breathtaking advances in quantum physics, astronomy, cosmology, and beyond. This incisive textbook covers the basics of building, diagnosing, optimizing, and deploying machine learning methods to solve research problems in physics and astronomy, with an emphasis on critical thinking and the scientific method. Using a hands-on approach to learning, Machine Learning for Physics and Astronomy draws on real-world, publicly available data as well as examples taken directly from the frontiers of research, from identifying galaxy morphology from images to identifying the signature of standard model particles in simulations at the Large Hadron Collider. Introduces readers to best practices in data-driven problem-solving, from preliminary data exploration and cleaning to selecting the best method for a given task Each chapter is accompanied by Jupyter Notebook worksheets in Python that enable students to explore key concepts Includes a wealth of review questions and quizzes Ideal for advanced undergraduate and early graduate students in STEM disciplines such as physics, computer science, engineering, and applied mathematics Accessible to self-learners with a basic knowledge of linear algebra and calculus Slides and assessment questions (available only to instructors)

Beyond Quantity

Author : Andreas Sudmann
Publisher : transcript Verlag
ISBN 13 : 3732867668
Total Pages : 395 pages
Book Rating : 4.7/5 (328 download)

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Book Synopsis Beyond Quantity by : Andreas Sudmann

Download or read book Beyond Quantity written by Andreas Sudmann and published by transcript Verlag. This book was released on 2023-11-30 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do artificial neural networks and other forms of artificial intelligence interfere with methods and practices in the sciences? Which interdisciplinary epistemological challenges arise when we think about the use of AI beyond its dependency on big data? Not only the natural sciences, but also the social sciences and the humanities seem to be increasingly affected by current approaches of subsymbolic AI, which master problems of quality (fuzziness, uncertainty) in a hitherto unknown way. But what are the conditions, implications, and effects of these (potential) epistemic transformations and how must research on AI be configured to address them adequately?

Understanding Machine Learning

Author : Shai Shalev-Shwartz
Publisher : Cambridge University Press
ISBN 13 : 1107057132
Total Pages : 415 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Understanding Machine Learning by : Shai Shalev-Shwartz

Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz and published by Cambridge University Press. This book was released on 2014-05-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Introduction to Machine Learning

Author : Ethem Alpaydin
Publisher : MIT Press
ISBN 13 : 0262028182
Total Pages : 639 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Introduction to Machine Learning by : Ethem Alpaydin

Download or read book Introduction to Machine Learning written by Ethem Alpaydin and published by MIT Press. This book was released on 2014-08-22 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.

Machine Learning

Author : Maria Johnsen
Publisher : Maria Johnsen
ISBN 13 :
Total Pages : 550 pages
Book Rating : 4.3/5 (323 download)

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Book Synopsis Machine Learning by : Maria Johnsen

Download or read book Machine Learning written by Maria Johnsen and published by Maria Johnsen. This book was released on 2024-07-06 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning has revolutionized industries, from healthcare to entertainment, by enhancing how we understand and interact with data. Despite its prevalence, mastering this field requires both theoretical knowledge and practical skills. This book bridges that gap, starting with foundational concepts and essential mathematics, then advancing through a wide range of algorithms and techniques. It covers supervised and unsupervised learning, neural networks, deep learning, and reinforcement learning, with clear explanations and practical examples. Real-world applications are highlighted through scenarios and case studies, demonstrating how to solve specific problems with machine learning. You'll find hands-on guides to popular tools and libraries like Python, Scikit-Learn, TensorFlow, Keras, and PyTorch, enabling you to build, evaluate, and deploy models effectively. The book explores cutting-edge topics like quantum machine learning and explainable AI, keeping you updated on the latest trends. Detailed case studies and capstone projects provide practical experience, guiding you through the entire machine learning process. This book, a labor of love born from extensive research and passion, aims to make machine learning accessible and engaging. Machine learning is about curiosity, creativity, and the pursuit of knowledge. Explore, experiment, and enjoy the journey. Thank you for choosing this book. I am excited to be part of your machine learning adventure and look forward to the incredible things you will achieve.