Architecture

Architecture

Author: Francis D. K. Ching

Publisher: John Wiley & Sons

Published: 2012-07-16

Total Pages: 1784

ISBN-13: 1118004825

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A superb visual reference to the principles of architecture Now including interactive CD-ROM! For more than thirty years, the beautifully illustrated Architecture: Form, Space, and Order has been the classic introduction to the basic vocabulary of architectural design. The updated Third Edition features expanded sections on circulation, light, views, and site context, along with new considerations of environmental factors, building codes, and contemporary examples of form, space, and order. This classic visual reference helps both students and practicing architects understand the basic vocabulary of architectural design by examining how form and space are ordered in the built environment.? Using his trademark meticulous drawing, Professor Ching shows the relationship between fundamental elements of architecture through the ages and across cultural boundaries. By looking at these seminal ideas, Architecture: Form, Space, and Order encourages the reader to look critically at the built environment and promotes a more evocative understanding of architecture. In addition to updates to content and many of the illustrations, this new edition includes a companion CD-ROM that brings the book's architectural concepts to life through three-dimensional models and animations created by Professor Ching.


Applied Stochastic Differential Equations

Applied Stochastic Differential Equations

Author: Simo Särkkä

Publisher: Cambridge University Press

Published: 2019-05-02

Total Pages: 327

ISBN-13: 1316510085

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With this hands-on introduction readers will learn what SDEs are all about and how they should use them in practice.


The Hundred-page Machine Learning Book

The Hundred-page Machine Learning Book

Author: Andriy Burkov

Publisher:

Published: 2019

Total Pages: 141

ISBN-13: 9781999579500

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Provides a practical guide to get started and execute on machine learning within a few days without necessarily knowing much about machine learning.The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue.


Data-Intensive Text Processing with MapReduce

Data-Intensive Text Processing with MapReduce

Author: Jimmy Lin

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 171

ISBN-13: 3031021363

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Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well. Table of Contents: Introduction / MapReduce Basics / MapReduce Algorithm Design / Inverted Indexing for Text Retrieval / Graph Algorithms / EM Algorithms for Text Processing / Closing Remarks


Bandit Algorithms

Bandit Algorithms

Author: Tor Lattimore

Publisher: Cambridge University Press

Published: 2020-07-16

Total Pages: 537

ISBN-13: 1108486827

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A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.


Introduction to Information Retrieval

Introduction to Information Retrieval

Author: Christopher D. Manning

Publisher: Cambridge University Press

Published: 2008-07-07

Total Pages:

ISBN-13: 1139472100

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Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.


Signal Processing VI

Signal Processing VI

Author: J. Vandewalle

Publisher: Elsevier

Published: 2012-12-02

Total Pages: 681

ISBN-13: 0444600361

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This was the sixth in the sequence of the international conferences promoted and organized by the European Association for Signal Processing. The conference has established itself as one of the world's largest and most important meetings on the subject. The 444 papers (in three volumes) are organized under 7 themes, containing the following topics:1. Theory of Signals and Systems:a) Detection, b) Estimation, c) Filtering, d)Spectral estimation, e) Adaptive systems, f) Modeling, g) Digital transforms, h) Digital filtering.2. Image Processing and Multidimensional Signal Processing:a) Coding, b) Enhancement, c) Restoration, d) Medical image processing.3. Speech Processing:a) Coding, b) Synthesis, c) Recognition and understanding, d) Enhancement.4. Implementations:a) Hardware, b) Software, c) VLSI, d) Novel Architectures, e) Array processing.5. Knowledge Engineering and Signal Processing:a) Expert systems, b) Pattern recognition, c) Signal interpretation, d) Image understanding.6. Neural Networks for Signal Processing:a) Theory, b) Speech, c) Vision, d) Implementations. 7. Applications:a) Radar, b) Sonar, c) Communications, d) Geophysics, e) Digital audio, f) Biomedics, g) Sensing, h) Robotics, i) Astrophysics, j) Mechanics, k) other. The diversity of topics in this 3-volume set, as well as the extraordinary tempo at which Signal Processing has progressed, attest to the permanent vitality of this area of research and development. Workers in signal processing will find in these papers the latest advances and results, as well as indications on future research and analysis in this rapidly developing field.