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Handbook of Software Engineering
Handbook of Software Engineering
This handbook provides a unique and in-depth survey of the current state-of-the-art in software engineering, covering its major topics, the conceptual genealogy of each subfield, and discussing future research directions. Subjects include foundational areas of software engineering (e.g. software processes, requirements engineering,...
The Art of Statistics: Learning from Data (Pelican Books)
The Art of Statistics: Learning from Data (Pelican Books)

Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more...

Industrial Sensors and Controls in Communication Networks: From Wired Technologies to Cloud Computing and the Internet of Things (Computer Communications and Networks)
Industrial Sensors and Controls in Communication Networks: From Wired Technologies to Cloud Computing and the Internet of Things (Computer Communications and Networks)

This informative text/reference presents a detailed review of the state of the art in industrial sensor and control networks. The book examines a broad range of applications, along with their design objectives and technical challenges. The coverage includes fieldbus technologies, wireless communication technologies, network...

Art of Computer Programming, The, Volumes 1-3 Boxed Set (The Art of Computer Programming Series)
Art of Computer Programming, The, Volumes 1-3 Boxed Set (The Art of Computer Programming Series)

This multivolume work is widely recognized as the definitive description of classical computer science. The first three volumes have for decades been an invaluable resource in programming theory and practice for students, researchers, and practitioners alike.

 

Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch

Build neural network models in text, vision and advanced analytics using PyTorch

Key Features

  • Learn PyTorch for implementing cutting-edge deep learning algorithms.
  • Train your neural networks for higher speed and flexibility and learn how to implement them in various...
Experiment-Driven Product Development: How to Use a Data-Informed Approach to Learn, Iterate, and Succeed Faster
Experiment-Driven Product Development: How to Use a Data-Informed Approach to Learn, Iterate, and Succeed Faster

Improving your craft is a key skill for product and user experience professionals working in the digital era. There are many established methods of product development to inspire and focus teams—Sprint, Lean, Agile, Kanban—all of which focus on solutions to customer and business problems. Enter XDPD, or Experiment-Driven...

Practical Computer Vision: Extract insightful information from images using TensorFlow, Keras, and OpenCV
Practical Computer Vision: Extract insightful information from images using TensorFlow, Keras, and OpenCV

A practical guide designed to get you from basics to current state of art in computer vision systems.

Key Features

  • Master the different tasks associated with Computer Vision and develop your own Computer Vision applications with ease
  • Leverage the power of Python,...
R Machine Learning By Example
R Machine Learning By Example

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

About This Book

  • Get to grips with the concepts of machine learning through exciting real-world examples
  • Visualize and solve complex problems...
Formal Verification of Floating-Point Hardware Design
Formal Verification of Floating-Point Hardware Design

This is the first book to focus on the problem of ensuring the correctness of floating-point hardware designs through mathematical methods.  Formal Verification of Floating-Point Hardware Design advances a verification methodology based on a unified theory of register-transfer logic and floating-point arithmetic that has...

Elementary Number Theory with Applications, Second Edition
Elementary Number Theory with Applications, Second Edition
or over two thousand years, number theory has fascinated and inspired both Famateurs and mathematicians alike. A sound and fundamental body of knowledge, it has been developed by the untiring pursuits of mathematicians all over the world. Today, number theorists continue to develop some of the most sophisticated mathematical tools ever devised and...
Advanced Programming Language Design
Advanced Programming Language Design
This book stems in part from courses taught at the University of Kentucky
and at the University of Wisconsin–Madison on programming language design.
There are many good books that deal with the subject at an undergraduate
level, but there are few that are suitable for a one-semester graduatelevel
course. This book is my
...
Calculus (Stewart's Calculus Series)
Calculus (Stewart's Calculus Series)

Success in your calculus course starts here! James Stewart's CALCULUS texts are world-wide best-sellers for a reason: they are clear, accurate, and filled with relevant, real-world examples. With CALCULUS, Sixth Edition, Stewart conveys not only the utility of calculus to help you develop technical competence, but also gives you an...

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