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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,...
Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases
Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

Be an adaptive thinker that leads the way to Artificial Intelligence

Key Features

  • AI-based examples to guide you in designing and implementing machine intelligence
  • Develop your own method for future AI solutions
  • Acquire advanced AI, machine learning, and...
Database Modeling and Design: Logical Design, 4th Edition (Data Management Systems)
Database Modeling and Design: Logical Design, 4th Edition (Data Management Systems)
Database systems and database design technology have undergone significant evolution in recent years. The relational data model and relational database systems dominate business applications; in turn, they are extended by other technologies like data warehousing, OLAP, and data mining. How do you model and design your database application in...
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

  • Gain real-world contextualization using deep learning problems concerning research and application
  • Get to know the best practices to improve and optimize your machine...
Blind Image Deconvolution: Theory and Applications
Blind Image Deconvolution: Theory and Applications
Blind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications. The field of blind image deconvolution has several applications in different areas such as image restoration, microscopy, medical imaging, biological imaging, remote sensing,...
MATLAB Machine Learning Recipes: A Problem-Solution Approach
MATLAB Machine Learning Recipes: A Problem-Solution Approach
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem.

All code in MATLAB Machine Learning Recipes:  A Problem-Solution Approach is executable....
Introducing Bootstrap 4
Introducing Bootstrap 4

Learn how to use the front end CSS framework Bootstrap 4 to create powerful web applications. You'll work with all the components of Bootstrap 4 using easy-to-follow instructions and example code snippets. You'll also use Bootstrap 4 for typography, forms, and modules, and see how to structure your page and your code to be optimally...

Adaptive Web Sites: A Knowledge Extraction from Web Data Approach - Volume 170 Frontiers in Artificial Intelligence and Applications
Adaptive Web Sites: A Knowledge Extraction from Web Data Approach - Volume 170 Frontiers in Artificial Intelligence and Applications
This book can be presented in two different ways; introducing a particular methodology to build adaptive Web sites and; presenting the main concepts behind Web mining and then applying them to adaptive Web sites. In this case, adaptive Web sites is the case study to exemplify the tools introduced in the text. The authors start by introducing the...
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The...
Handbook of Neural Network Signal Processing (Electrical Engineering & Applied Signal Processing)
Handbook of Neural Network Signal Processing (Electrical Engineering & Applied Signal Processing)

A comprehensive reference book for practical engineers and researchers focusing on neural network applications on signal processing, this text concerns itself with a vast array of signals. Among included signals, readers will find information on audio, video, speech, communication, geophysical, sonar, radar and medical signals. Written for those...

The Scrumban [R]Evolution: Getting the Most Out of Agile, Scrum, and Lean Kanban (Agile Software Development Series)
The Scrumban [R]Evolution: Getting the Most Out of Agile, Scrum, and Lean Kanban (Agile Software Development Series)

Create Thriving, High-Performing Teams and Organizations with Scrumban

 

Scrumban allows you to use Kanban as a catalyst for increasingly valuable changes to your existing software development processes, amplifying and expanding upon Scrum’s...

Observing the User Experience: A Practitioner's Guide to User Research
Observing the User Experience: A Practitioner's Guide to User Research

The gap between who designers and developers imagine their users are, and who those users really are can be the biggest problem with product development. Observing the User Experience will help you bridge that gap to understand what your users want and need from your product, and whether they'll be able to use what you've created.

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