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Mastering AutoCAD 2019 and AutoCAD LT 2019
Mastering AutoCAD 2019 and AutoCAD LT 2019

The world’s favorite guide to everything AutoCAD and AutoCAD LT—updated for 2019!

Mastering AutoCAD 2019 and AutoCAD LT 2019 is the world’s all-time best-selling guide to the world’s most popular drafting software. Packed with tips, tricks, techniques, and tutorials, this guide covers every...

Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras
Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.

Key Features

  • Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and...
Modeling Derivatives in C++
Modeling Derivatives in C++

This book is the definitive and most comprehensive guide to modeling derivatives in C++ today. Providing readers with not only the theory and math behind the models, as well as the fundamental concepts of financial engineering, but also actual robust object-oriented C++ code, this is a practical introduction to the most important derivative...

Complete Maya Programming, Vol. II: An In-Depth Guide to 3D Fundamentals, Geometry, and Modeling
Complete Maya Programming, Vol. II: An In-Depth Guide to 3D Fundamentals, Geometry, and Modeling
David Gould's acclaimed first book, Complete Maya Programming: An Extensive Guide to MEL and the C++ API, provides artists and programmers with a deep understanding of the way Maya works and how it can be enhanced and customized through programming. In his new book David offers a gentle, intuitive introduction to the core ideas of...
An Introduction to Modeling and Simulation of Particulate Flows (Computational Science and Engineering)
An Introduction to Modeling and Simulation of Particulate Flows (Computational Science and Engineering)
The relatively recent increase in computational power available for mathematical modeling and simulation raises the possibility that modern numerical methods can play a significant role in the analysis of complex particulate flows. This introductory monograph focuses on basic models and physically based computational solution strategies for the...
New Trends in Software Process Modelling (Software Engineering and Knowledge Engineering)
New Trends in Software Process Modelling (Software Engineering and Knowledge Engineering)
Over the years, a variety of software process models have been designed to structure, describe and prescribe the software systems construction process. More recently, software process modelling is increasingly dealing with new challenges raised by the tests that the software industry has to face. This book addresses these new trends in software...
A First Course in Stochastic Models
A First Course in Stochastic Models
The teaching of appliedprobability needs a fresh approach. The fieldof applied probability has changedprofound ly in the past twenty years andyet the textbooks in use today do not fully reflect the changes. The development of computational methods has greatly contributed to a better understanding of the theory. It is my conviction that theory is...
Engineering Service Oriented Systems: A Model Driven Approach
Engineering Service Oriented Systems: A Model Driven Approach
Despite pressures of economic slowdown and the e-commerce bubble burst, moving towards e-services is a compelling necessity for todays organizations. Companies that are reluctant to adopt a service oriented architecture in their IT systems will be missing out on unprecedented opportunities to create business value with relatively small IT...
Data Modeling for Metrology and Testing in Measurement Science
Data Modeling for Metrology and Testing in Measurement Science
This book and companion DVD provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The emphasis throughout is on techniques having a broad range of real-world applications in measurement science. Mainstream methods of data modeling and analysis...
Knowledge in Formation: A Computational Theory of Interpretation (Cognitive Technologies)
Knowledge in Formation: A Computational Theory of Interpretation (Cognitive Technologies)

With knowledge representation we face more or less the same problem as Augustine (354–430) when thinking about time: if nobody asks what it is, it seems clear enough, but being asked it proves to be very difficult to provide an answer.

At the beginning of our research we thought that a solution for the problem of...

Disciplined Agile Delivery: A Practitioner's Guide to Agile Software Delivery in the Enterprise (IBM Press)
Disciplined Agile Delivery: A Practitioner's Guide to Agile Software Delivery in the Enterprise (IBM Press)

Master IBM’s Breakthrough DAD Process Framework for Succeeding with Agile in Large, Complex, Mission-Critical IT Projects

 

It is widely recognized that moving from traditional to agile approaches to build software solutions is a critical...

Syntactic Pattern Recognition: An Introduction (Applied Mathematics and Computation; No. 14)
Syntactic Pattern Recognition: An Introduction (Applied Mathematics and Computation; No. 14)
This book was written to provide students, engineers, and scientists involved in pattern recognition, digital image processing, and artificial intelligence with a comprehensive introduction to the concepts and tech- niques of syntactic pattern recognition.

Syntactic pattern recognition is concerned with the
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unlimited object storage image
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