Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

Books Journals

Advances in Electronics and Electron Physics

1st Edition
Volume 15
January 1, 1961
L. Marton + 1 more
English
eBook
9 7 8 0 0 8 0 5 7 6 7 6 3

Advances in Electronics and Electron Physics

1st Edition
Volume 12
January 1, 1960
J.D. Mcgee + 1 more
English
eBook
9 7 8 0 0 8 0 5 7 6 7 3 2

Advances in Electronics and Electron Physics

1st Edition
Volume 13
January 1, 1960
L. Marton + 1 more
English
eBook
9 7 8 0 0 8 0 5 7 6 7 4 9

Advances in Electronics and Electron Physics

1st Edition
Volume 11
January 1, 1959
L. Marton + 1 more
English
eBook
9 7 8 0 0 8 0 5 7 6 7 2 5

Advances in Electronics and Electron Physics

1st Edition
Volume 10
January 1, 1958
L. Marton + 1 more
English
eBook
9 7 8 0 0 8 0 5 7 6 7 1 8

Advances in Electronics and Electron Physics

1st Edition
Volume 9
January 1, 1957
L. Marton
English
eBook
9 7 8 0 0 8 0 5 7 6 7 0 1

Advances in Electronics and Electron Physics

1st Edition
Volume 8
January 1, 1956
L. Marton
English
eBook
9 7 8 0 0 8 0 5 7 6 6 9 5

Machine Learning

1st Edition
January 1, 1955
Ryszard S. Michalski + 2 more
English
eBook
9 7 8 0 0 8 0 5 1 0 5 4 5

Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning and explains why machines should learn. Part II covers important issues affecting the design of learning programs—particularl... programs that learn from examples. It also describes inductive learning systems. Part III deals with learning by analogy, by experimentation, and from experience. Parts IV and V discuss learning from observation and discovery, and learning from instruction, respectively. Part VI presents two studies on applied learning systems—one on the recovery of valuable information via inductive inference; the other on inducing models of simple algebraic skills from observed student performance in the context of the Leeds Modeling System (LMS). This book is intended for researchers in artificial intelligence, computer science, and cognitive psychology; students in artificial intelligence and related disciplines; and a diverse range of readers, including computer scientists, robotics experts, knowledge engineers, educators, philosophers, data analysts, psychologists, and electronic engineers.

Advances in Electronics and Electron Physics

1st Edition
Volume 7
January 1, 1955
L. Marton
English
eBook
9 7 8 0 0 8 0 5 7 6 6 8 8

Advances in Electronics and Electron Physics

1st Edition
Volume 6
January 1, 1954
L. Marton
English
eBook
9 7 8 0 0 8 0 5 7 6 6 7 1

Related subjects

Applications

Artificial intelligence

Business intelligence

Computer systems organization

Computer vision and pattern recognition

Computing milieux

Data

Graphics cad hci

Hardware and architecture

Information systems

Internet and web technology

Software

Theory and mathematics

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Books in Computer science

Advances in Electronics and Electron Physics

Advances in Electronics and Electron Physics

Advances in Electronics and Electron Physics

Advances in Electronics and Electron Physics

Advances in Electronics and Electron Physics

Advances in Electronics and Electron Physics

Advances in Electronics and Electron Physics

Machine Learning

Advances in Electronics and Electron Physics

Advances in Electronics and Electron Physics

Related subjects