Mathematical Methods In Artificial Intelligence PDF Download
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Author | : Edward A. Bender |
Publisher | : Wiley-IEEE Computer Society Press |
Total Pages | : 0 |
Release | : 1996-02-10 |
Genre | : Technology & Engineering |
ISBN | : 9780818672002 |
Download Mathematical Methods in Artificial Intelligence Book in PDF, ePub and Kindle
Mathematical Methods in Artificial Intelligence introduces the student to the important mathematical foundations and tools in AI and describes their applications to the design of AI algorithms. This useful text presents an introductory AI course based on the most important mathematics and its applications. It focuses on important topics that are proven useful in AI and involve the most broadly applicable mathematics. The book explores AI from three different viewpoints: goals, methods or tools, and achievements and failures. Its goals of reasoning, planning, learning, or language understanding and use are centered around the expert system idea. The tools of AI are presented in terms of what can be incorporated in the data structures. The book looks into the concepts and tools of limited structure, mathematical logic, logic-like representation, numerical information, and nonsymbolic structures. The text emphasizes the main mathematical tools for representing and manipulating knowledge symbolically. These are various forms of logic for qualitative knowledge, and probability and related concepts for quantitative knowledge. The main tools for manipulating knowledge nonsymbolically, as neural nets, are optimization methods and statistics. This material is covered in the text by topics such as trees and search, classical mathematical logic, and uncertainty and reasoning. A solutions diskette is available, please call for more information.
Author | : Marc Peter Deisenroth |
Publisher | : Cambridge University Press |
Total Pages | : 392 |
Release | : 2020-04-23 |
Genre | : Computers |
ISBN | : 1108569323 |
Download Mathematics for Machine Learning Book in PDF, ePub and Kindle
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Author | : Edward R. Dougherty |
Publisher | : |
Total Pages | : 472 |
Release | : 1988 |
Genre | : Computers |
ISBN | : |
Download Mathematical Methods for Artificial Intelligence and Autonomous Systems Book in PDF, ePub and Kindle
Author | : Edward R. Dougherty |
Publisher | : Prentice Hall |
Total Pages | : 446 |
Release | : 1988-01-01 |
Genre | : Artificial intelligence |
ISBN | : 9780135609217 |
Download Mathematical Methods for Artificial Intelligence and Autonoumous Systems Book in PDF, ePub and Kindle
Author | : T. Ananth Kumar |
Publisher | : John Wiley & Sons |
Total Pages | : 370 |
Release | : 2021-08-16 |
Genre | : Mathematics |
ISBN | : 1119785502 |
Download Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications Book in PDF, ePub and Kindle
SIMULATIONS AND ANALYSIS of Mathematical Methods Written and edited by a group of international experts in the field, this exciting new volume covers the state of the art of real-time applications of computer science using mathematics. This breakthrough edited volume highlights the security, privacy, artificial intelligence, and practical approaches needed by engineers and scientists in all fields of science and technology. It highlights the current research, which is intended to advance not only mathematics but all areas of science, research, and development, and where these disciplines intersect. As the book is focused on emerging concepts in machine learning and artificial intelligence algorithmic approaches and soft computing techniques, it is an invaluable tool for researchers, academicians, data scientists, and technology developers. The newest and most comprehensive volume in the area of mathematical methods for use in real-time engineering, this groundbreaking new work is a must-have for any engineer or scientist’s library. Also useful as a textbook for the student, it is a valuable contribution to the advancement of the science, both a working handbook for the new hire or student, and a reference for the veteran engineer.
Author | : Dirk P. Kroese |
Publisher | : CRC Press |
Total Pages | : 538 |
Release | : 2019-11-20 |
Genre | : Business & Economics |
ISBN | : 1000730778 |
Download Data Science and Machine Learning Book in PDF, ePub and Kindle
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
Author | : National Research Council |
Publisher | : National Academies Press |
Total Pages | : 145 |
Release | : 1991-02-01 |
Genre | : Technology & Engineering |
ISBN | : 0309046483 |
Download Research Directions in Computational Mechanics Book in PDF, ePub and Kindle
Computational mechanics is a scientific discipline that marries physics, computers, and mathematics to emulate natural physical phenomena. It is a technology that allows scientists to study and predict the performance of various productsâ€"important for research and development in the industrialized world. This book describes current trends and future research directions in computational mechanics in areas where gaps exist in current knowledge and where major advances are crucial to continued technological developments in the United States.
Author | : Justin Joque |
Publisher | : Verso Books |
Total Pages | : 241 |
Release | : 2022-01-18 |
Genre | : Political Science |
ISBN | : 1788734009 |
Download Revolutionary Mathematics Book in PDF, ePub and Kindle
Traces the revolution in statistics that gave rise to artificial intelligence and predictive algorithms refiguring contemporary capitalism. Our finances, politics, media, opportunities, information, shopping and knowledge production are mediated through algorithms and their statistical approaches to knowledge; increasingly, these methods form the organizational backbone of contemporary capitalism. Revolutionary Mathematics traces the revolution in statistics and probability that has quietly underwritten the explosion of machine learning, big data and predictive algorithms that now decide many aspects of our lives. Exploring shifts in the philosophical understanding of probability in the late twentieth century, Joque shows how this was not merely a technical change but a wholesale philosophical transformation in the production of knowledge and the extraction of value. This book provides a new and unique perspective on the dangers of allowing artificial intelligence and big data to manage society. It is essential reading for those who want to understand the underlying ideological and philosophical changes that have fueled the rise of algorithms and convinced so many to blindly trust their outputs, reshaping our current political and economic situation.
Author | : Herb Kunze |
Publisher | : CRC Press |
Total Pages | : 530 |
Release | : 2023-07-26 |
Genre | : Technology & Engineering |
ISBN | : 1000907872 |
Download Engineering Mathematics and Artificial Intelligence Book in PDF, ePub and Kindle
Explains the theory behind Machine Learning and highlights how Mathematics can be used in Artificial Intelligence Illustrates how to improve existing algorithms by using advanced mathematics and discusses how Machine Learning can support mathematical modeling Captures how to simulate data by means of artificial neural networks and offers cutting-edge Artificial Intelligence technologies Emphasizes the classification of algorithms, optimization methods, and statistical techniques Explores future integration between Machine Learning and complex mathematical techniques
Author | : D. Jude Hemanth |
Publisher | : Springer Nature |
Total Pages | : 1105 |
Release | : 2020-01-03 |
Genre | : Technology & Engineering |
ISBN | : 3030361780 |
Download Artificial Intelligence and Applied Mathematics in Engineering Problems Book in PDF, ePub and Kindle
This book features research presented at the 1st International Conference on Artificial Intelligence and Applied Mathematics in Engineering, held on 20–22 April 2019 at Antalya, Manavgat (Turkey). In today’s world, various engineering areas are essential components of technological innovations and effective real-world solutions for a better future. In this context, the book focuses on problems in engineering and discusses research using artificial intelligence and applied mathematics. Intended for scientists, experts, M.Sc. and Ph.D. students, postdocs and anyone interested in the subjects covered, the book can also be used as a reference resource for courses related to artificial intelligence and applied mathematics.