Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size--small enough to run on a microcontroller. With this practical book you'll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who...
Your one-stop guide to blockchain technology and its business applicationsKey FeaturesAssimilate blockchain services such as Ethereum and Hyperledger to transform industrial applications Know in and out of blockchain technology to understand various business use casesUnderstand various common and not-so-common challenges faced in blockchain development Book DescriptionBlockchain for Business 2019 is a comprehensive guide that enables you to bring in various blockchain functionalities to extend y...
Modeling, Simulation, and Operations Analysis in Afghanistan and Iraq
by Ben Connable, Walter L. Perry, Abby Doll, Natasha Lander, and Dan Madden
This text deals with computational chemistry, particularly long-range molecular forces; with biological and chemical contamination, including hierarchical ideas from computer science in a problem-solving environment; with discrete mathematics, including connections to the buckyball structure of carbon 60; with dimension-reduction techniques in incompressible fluid mechanics; with aspects of charge transport, bridging compressible fluids (gas dynamics) and semiconductors; with the approximation p...
The@ first graduate-level textbook to focus on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial chaos (gPC). These fast, efficient, and accurate methods are an extension of the classical spectral methods of high-dimensional random spaces. Designed to simulate complex systems subject to random inputs, these methods are widely used in many areas of computer science and engineering. The book intr...
Data Structures with Abstract Data Types and ADA
by Daniel Stubbs and Neil Webre
The only modern data structures book implemented in Ada, covers data structures first in terms of specifications, followed by implementation, then by performance issues. The organization moves from the more basic structures to the more advanced structures. The book contains examples coded in Ada and content specially tailored to the features and capabilities of the language. Examples throughout the text illustrate the use of data structures and exercises vary from straightforward paper and penci...
Data Modeling Essentials (The Morgan Kaufmann Series in Data Management Systems)
by Graeme Simsion, Graham Witt, and Matthew West
Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather than a simple familiarization with "the rules". In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice. This rev...
Algorithms in Bioinformatics (Lecture Notes in Computer Science, #4645) (Lecture Notes in Bioinformatics, #4645)
The refereed proceedings from the 7th International Workshop on Algorithms in Bioinformatics are provided in this volume. Papers address current issues in algorithms in bioinformatics, ranging from mathematical tools to experimental studies of approximation algorithms to significant computational analyses. Biological problems examined include genetic mapping, sequence alignment and analysis, phylogeny, comparative genomics, and protein structure.
The Integrated Data Hub, The Next Generation Data Warehouse
by Dario Mangano
Data Science NoteBook (Engineering Notebooks, #1)
by New Century Publishing
Recent Trends in Data Type Specification (Lecture Notes in Computer Science, #785)
Experimental Algorithms (Theoretical Computer Science and General Issues, #8504)
This book constitutes the refereed proceedings of the 13th International Symposium on Experimental Algorithms, SEA 2014, held in Copenhagen, Denmark, in June/July 2014.The 36 revised full papers presented together with 3 invited presentations were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections on combinatorial optimization, data structures, graph drawing, shortest path, strings, graph algorithms and suffix structures.
Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassleKey FeaturesCreate and share interactive documents with live code, text and visualizationsIntegrate popular programming languages such as Python, R, Julia, Scala with JupyterDevelop your widgets and interactive dashboards with these innovative recipesBook DescriptionJupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis t...
Interest in constrained optimization originated with the simple linear pro gramming model since it was practical and perhaps the only computationally tractable model at the time. Constrained linear optimization models were soon adopted in numerous application areas and are perhaps the most widely used mathematical models in operations research and management science at the time of this writing. Modelers have, however, found the assumption of linearity to be overly restrictive in expressing the...
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Symposium on Combinatorial Optimization, ISCO 2012, held in Athens, Greece, in April 2012. The 37 revised full papers presented together with 4 invited talks were carefully reviewed and selected from 94 regular and 30 short submissions. They present original research on all aspects of combinatorial optimization, ranging from mathematical foundations and theory of algorithms to computational stud...
This guide is an ideal learning tool and reference for Apache Pig, the programming language that helps you describe and run large data projects on Hadoop. With Pig, you can analyze data without having to create a full-fledged application - making it easy for you to experiment with new data sets. Programming Pig shows newcomers how to get started, and teaches intermediate users the benefits of using Pig Latin, the data flow language for building and maintaining pipelines for processing data. Adva...
Languages and Compilers for Parallel Computing (Lecture Notes in Computer Science, #2481)
by Bill Pugh
The 15th Workshop on Languages and Compilers for Parallel Computing was held in July 2002 at the University of Maryland, College Park. It was jointly sponsored by the Department of Computer Science at the University of Ma- land and the University of Maryland Institute for Advanced Computer Studies (UMIACS).LCPC2002broughttogetherover60researchersfromacademiaand research institutions from many countries. The program of 26 papers was selected from 32 submissions. Each paper was reviewed by at leas...
KI 2005 (Lecture Notes in Computer Science, #3698) (Lecture Notes in Artificial Intelligence, #3698)
by Ulrich Furbach
ThisvolumecontainstheresearchpaperspresentedatKI2005,the28thGerman Conference on Arti?cial Intelligence, held September 11-14, 2005 in Koblenz, Germany. KI 2005 was part of the International Conference Summer Koblenz 2005, which included conferences covering a broad spectrum of topics that are all related to AI: tableau-based reasoningmethods (TABLEAUX), multi-agent s- tems (MATES), automated reasoningand knowledgerepresentation(FTP), and software engineering and formal methods (SEFM). The Progr...
This volume contains the 74 contributed papers and abstracts of 4 of the 5 invited talks presented at the 10th Annual European Symposium on Algorithms (ESA 2002), held at the University of Rome "La Sapienza", Rome, Italy, 17-21 September, 2002. For the ?rst time, ESA had two tracks, with separate program committees, which dealt respectively with: - the design and mathematical analysis of algorithms (the "Design and An- ysis" track); - real-world applications, engineering and experimental analysi...