231-239 - Computer Science - Finding books in the library - Research Guides at Hebrew University of Jerusalem

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Deep Learning by Ian Goodfellow; Yoshua Bengio; Aaron Courville; Francis Bach
Call Number: 236.2 Go63
ISBN: 9780262035613
Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep.
Understanding Machine Learning by Shai Shalev-Shwartz; Shai Ben-David
Call Number: 236.2 Sh25
ISBN: 9781107057135
The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms.
Image-guided interventions : technology and applications by Terry Peters (Editor); Kevin Cleary (Editor);
Call Number: Coll. 233.4 I42.Pe 2008
ISBN: 9780387738567
Publication Date: 2008
Responding to the growing demand for minimally invasive procedures, this book provides a comprehensive overview of the current technological advances in image-guided surgery. It blends the expertise of both engineers and physicians, offering the latest findings and applications. Detailed color images guide readers through the latest techniques, including cranial, orthopedic, prostrate, and endovascular interventions.
Deep Learning for Medical Image Analysis by S. Kevin Zhou (Editor); Hayit Greenspan (Editor); Dinggang Shen (Editor)
Call Number: ONLINE
ISBN: 0128104090
Publication Date: 2017
This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. [...] It covers common research problems in medical image analysis and their challenges, Describes deep learning methods and the theories behind approaches for medical image analysis, Teaches how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc.
Networks: an Introduction by Mark Newman
ISBN: 128067850X
Publication Date: 2010
The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks.[...] This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.

Applied computing

231 Natural sciences

231.2 Biology (Biotechnology), Bioinformatics

231.3 Chemistry

231.5 Mathematics (excluding numerical analysis)

231.7 Physics

232 Physical Sciences, Engineering

232.2 Computer-aided design (CAD)

232.3 Civil

232.4 Electrical, Electronic

232.6 Mechanical

232.7 Manufacturing & Management

233 Social, Behavioral sciences

233.1 Economics

233.2 Education, Computer assisted instruction (CAI)

233.4 Medicine, Health

233.6 Psychology

233.7 Sociology

234 Arts, Humanities

234.1 Arts, Fine arts, Performing arts

234.2 Language translations, Linguistics

234.3 Architecture

234.4 Music

234.5 Law

235 Administrative data processing

235.1 Decision tables

235.2 Financial

235.3 Electronic Mail

235.7 Transportation, Communication (see also 262.36)

235.8 Management systems, Information systems, EDP

235.9 Office automation, Word processing

236 Artificial intelligence, Intelligent agents (See also 258.1)

236.1 Robotics

236.2 Learning, Adaptive systems

236.3 Pattern recognition, Image processing

236.31 Digital, signal processing

236.32 Optical, Vision

236.33 Audio, Speech

236.34 Image compression

236.4 Problem solving, Problem planning

236.5 Simulation of natural systems, Genetic algorithms

236.6 Heuristic methods, Expert systems, Fuzzy systems

236.7 Symbol manipulation

236.8 Knowledge representation, Automated reasoning, Fuzzy Logic

236.9 Natural language understanding, Natural language generation

237 Information retrieval

237.1 Content analysis

237.2 Evaluation of systems, System analysis

237.3 File maintenance

237.4 Searching

237.5 Vocabulary

237.6 Text editing

237.7 Internet, WWW

237.8 Digital libraries

238 Real-time systems

238.2 Industrial process control

239 On-line systems, Applications miscellaneous

239.1 Human-machine interaction, Multimedia, User interfaces, User experience design (UX)

239.2 Computer games

239.3 Groupware, Computer supported cooperative work

Computer Science - Finding books in the library: 231-239

חיפוש בקטלוג הספרייה

המלצת הספרייה

Applied computing