Farm Journal
Author:
Publisher:
Published: 1924
Total Pages: 104
ISBN-13:
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Publisher: Barbakam
Published: 2010-01-11
Total Pages: 7
ISBN-13: 0978534425
DOWNLOAD EBOOKAuthor: Francis D. K. Ching
Publisher: John Wiley & Sons
Published: 2012-07-16
Total Pages: 1784
ISBN-13: 1118004825
DOWNLOAD EBOOKA 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.
Author: Simo Särkkä
Publisher: Cambridge University Press
Published: 2019-05-02
Total Pages: 327
ISBN-13: 1316510085
DOWNLOAD EBOOKWith this hands-on introduction readers will learn what SDEs are all about and how they should use them in practice.
Author: Andriy Burkov
Publisher:
Published: 2019
Total Pages: 141
ISBN-13: 9781999579500
DOWNLOAD EBOOKProvides 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.
Author: Jimmy Lin
Publisher: Springer Nature
Published: 2022-05-31
Total Pages: 171
ISBN-13: 3031021363
DOWNLOAD EBOOKOur 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
Author:
Publisher:
Published: 1924
Total Pages: 476
ISBN-13:
DOWNLOAD EBOOKAuthor: Tor Lattimore
Publisher: Cambridge University Press
Published: 2020-07-16
Total Pages: 537
ISBN-13: 1108486827
DOWNLOAD EBOOKA comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.
Author: Christopher D. Manning
Publisher: Cambridge University Press
Published: 2008-07-07
Total Pages:
ISBN-13: 1139472100
DOWNLOAD EBOOKClass-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.
Author: J. Vandewalle
Publisher: Elsevier
Published: 2012-12-02
Total Pages: 681
ISBN-13: 0444600361
DOWNLOAD EBOOKThis 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.