Elements Of Artificial Intelligence PDF Download
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Author | : Steven Tanimoto |
Publisher | : Rockville, MD : Computer Science Press |
Total Pages | : 560 |
Release | : 1987 |
Genre | : Computers |
ISBN | : |
Download The Elements of Artificial Intelligence Book in PDF, ePub and Kindle
Author | : Ajay Agrawal |
Publisher | : University of Chicago Press |
Total Pages | : 172 |
Release | : 2024-03-05 |
Genre | : Business & Economics |
ISBN | : 0226833127 |
Download The Economics of Artificial Intelligence Book in PDF, ePub and Kindle
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Author | : Steven L. Tanimoto |
Publisher | : W.H. Freeman |
Total Pages | : |
Release | : 1994-01-01 |
Genre | : |
ISBN | : 9780716782834 |
Download Elements of Artificial Intelligence Book in PDF, ePub and Kindle
Author | : Kishan Mehrotra |
Publisher | : MIT Press |
Total Pages | : 376 |
Release | : 1997 |
Genre | : Computers |
ISBN | : 9780262133289 |
Download Elements of Artificial Neural Networks Book in PDF, ePub and Kindle
Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them. The authors, who have been developing and team teaching the material in a one-semester course over the past six years, describe most of the basic neural network models (with several detailed solved examples) and discuss the rationale and advantages of the models, as well as their limitations. The approach is practical and open-minded and requires very little mathematical or technical background. Written from a computer science and statistics point of view, the text stresses links to contiguous fields and can easily serve as a first course for students in economics and management. The opening chapter sets the stage, presenting the basic concepts in a clear and objective way and tackling important -- yet rarely addressed -- questions related to the use of neural networks in practical situations. Subsequent chapters on supervised learning (single layer and multilayer networks), unsupervised learning, and associative models are structured around classes of problems to which networks can be applied. Applications are discussed along with the algorithms. A separate chapter takes up optimization methods. The most frequently used algorithms, such as backpropagation, are introduced early on, right after perceptrons, so that these can form the basis for initiating course projects. Algorithms published as late as 1995 are also included. All of the algorithms are presented using block-structured pseudo-code, and exercises are provided throughout. Software implementing many commonly used neural network algorithms is available at the book's website. Transparency masters, including abbreviated text and figures for the entire book, are available for instructors using the text.
Author | : Pat Langley |
Publisher | : Morgan Kaufmann |
Total Pages | : 436 |
Release | : 1996 |
Genre | : Computers |
ISBN | : 9781558603011 |
Download Elements of Machine Learning Book in PDF, ePub and Kindle
Machine learning is the computational study of algorithms that improve performance based on experience, and this book covers the basic issues of artificial intelligence. Individual sections introduce the basic concepts and problems in machine learning, describe algorithms, discuss adaptions of the learning methods to more complex problem-solving tasks and much more.
Author | : Steven Tanimoto |
Publisher | : W H Freeman & Company |
Total Pages | : 823 |
Release | : 1995 |
Genre | : Computers |
ISBN | : 9780716782698 |
Download The Elements of Artificial Intelligence Using Common Lisp Book in PDF, ePub and Kindle
This text provides an introductory-level overview of artificial intelligence (AI). It features clear presentation of principles integrated with short, workable programs which are designed to help students to learn by experimentation and to develop an intuitive understanding of the subject.
Author | : OECD |
Publisher | : OECD Publishing |
Total Pages | : 152 |
Release | : 2019-06-11 |
Genre | : |
ISBN | : 9264545190 |
Download Artificial Intelligence in Society Book in PDF, ePub and Kindle
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Author | : Abbas Moallem |
Publisher | : CRC Press |
Total Pages | : 0 |
Release | : 2021-10 |
Genre | : Computers |
ISBN | : 9781032104409 |
Download Smart and Intelligent Systems Book in PDF, ePub and Kindle
"This book is perfect for engineering students in data sciences, artificial intelligence, practitioners at all levels in the field of human factors and ergonomics, systems engineering, computer science, software engineering and robotics"--
Author | : Adam Bohr |
Publisher | : Academic Press |
Total Pages | : 385 |
Release | : 2020-06-21 |
Genre | : Computers |
ISBN | : 0128184396 |
Download Artificial Intelligence in Healthcare Book in PDF, ePub and Kindle
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data
Author | : Volker Nestle |
Publisher | : Springer Nature |
Total Pages | : 347 |
Release | : 2021-02-08 |
Genre | : Business & Economics |
ISBN | : 3030576426 |
Download Creating Innovation Spaces Book in PDF, ePub and Kindle
This book offers fresh impulses from different industries on how to deal with innovation processes. Authors from different backgrounds, such as artificial intelligence, mechanical engineering, medical technology and law, share their experiences with enabling and managing innovation. The ability of companies to innovate functions as a benchmark to attract investors long-term. While each company has different preconditions and environments to adapt to, the authors give guidance in the fields of digitalization, workspaces and business model innovation.