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Machine learning : A probabilistic perspective
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ISBN: 9780262018029 0262018020 0262305240 0262304325 9780262305242 9780262304320 Year: 2012 Publisher: London MIT Press

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"Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package--PMTK (probabilistic modeling toolkit)--that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students."--Provided by publisher.

Converging technologies for improving human performance : nanotechnology, biotechnology, information technology and cognitive science.
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ISBN: 1402012543 Year: 2003 Publisher: Dordrecht Kluwer

Inside the Java virtual machine.
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ISBN: 0071350934 Year: 1999 Publisher: New York (N.Y.) McGraw-Hill

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Thoughts on interaction design : a collection of reflections
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ISBN: 1282737945 9786612737947 0123786258 012378624X 9780123786241 9780123786258 9780080946726 0080946720 9780123809315 0123809312 0815514360 0815518943 1282027417 1282737716 1591242703 9786612027406 9786612027413 9786612737718 9780815514367 9780815518938 0815518935 9781591242703 9780815518945 Year: 2010 Publisher: Burlington : Elsevier Science,

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Interaction Designers-whether practicing as Usability Engineers, Visual Interface Designers, or Information Architects-attempt to understand and shape human behavior in order to design products that are at once usable, useful, and desirable. Although the value of design is now recognized as essential to product development, the field is often misunderstood by managers and other team members, who don't understand a designer's role in a team. This can cause inefficient and ineffective products. Thoughts on Interaction Design gives individuals engaged in this profession the dialo

Introduction to robotics : mechanics and control
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ISBN: 0201103265 Year: 1986 Publisher: Massachusetts : Addison-Wesley,


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High performance computing demystified.
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ISBN: 0124558259 1322559600 148326596X Year: 1994 Publisher: Boston AP professional

Fundamentals of codes, graphs, and iterative decoding
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ISBN: 0306477947 1402072643 9781402072642 Year: 2003 Volume: SECS 714 Publisher: Boston : Kluwer Academic Publishers,

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Fundamentals of Codes, Graphs, and Iterative Decoding is an explanation of how to introduce local connectivity, and how to exploit simple structural descriptions. Chapter 1 provides an overview of Shannon theory and the basic tools of complexity theory, communication theory, and bounds on code construction. Chapters 2 - 4 provide an overview of "classical" error control coding, with an introduction to abstract algebra, and block and convolutional codes. Chapters 5 - 9 then proceed to systematically develop the key research results of the 1990s and early 2000s with an introduction to graph theory, followed by chapters on algorithms on graphs, turbo error control, low density parity check codes, and low density generator codes.

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