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Augmented Reality and Virtual Reality: The Power of AR and VR for Business (Progress in IS)
Augmented Reality and Virtual Reality: The Power of AR and VR for Business (Progress in IS)

This book presents a collection of the latest research in the area of immersive technologies, presented at the International Augmented and Virtual Reality Conference 2018 in Manchester, UK, and showcases how augmented reality (AR) and virtual reality (VR) are transforming the business landscape. Innovations in this field are seen as...

Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Humans: A Brief History of How We F*cked It All Up
Humans: A Brief History of How We F*cked It All Up
*NOW AN INTERNATIONAL BESTSELLER*

A
Toronto Star Bestselling Book of the Year

“Witty and entertaining.”—Sarah Knight

“Laugh-out-loud.”—Steve Brusatte

AN EXHILARATING JOURNEY THROUGH THE
...
Fundamentals of Probability: With Stochastic Processes
Fundamentals of Probability: With Stochastic Processes

"The 4th edition of Ghahramani's book is replete with intriguing historical notes, insightful comments, and well-selected examples/exercises that, together, capture much of the essence of probability. Along with its Companion Website, the book is suitable as a primary resource for a first course in probability. Moreover, it...

Visual Saliency: From Pixel-Level to Object-Level Analysis
Visual Saliency: From Pixel-Level to Object-Level Analysis
This book provides an introduction to recent advances in theory, algorithms and application of Boolean map distance for image processing. Applications include modeling what humans find salient or prominent in an image, and then using this for guiding smart image cropping, selective image filtering, image segmentation, image matting, etc....
Nervous States: Democracy and the Decline of Reason
Nervous States: Democracy and the Decline of Reason

In this age of intense political conflict, we sense objective fact is growing less important. Experts are attacked as partisan, statistics and scientific findings are decried as propaganda, and public debate devolves into personal assaults. How did we get here, and what can we do about it?

In this...

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

  • Discover high-performing machine learning algorithms and understand how they work in depth
  • One-stop solution to mastering supervised, unsupervised, and...
Numerical Methods of Mathematics Implemented in Fortran (Forum for Interdisciplinary Mathematics)
Numerical Methods of Mathematics Implemented in Fortran (Forum for Interdisciplinary Mathematics)
This book systematically classifies the mathematical formalisms of computational models that are required for solving problems in mathematics, engineering and various other disciplines. It also provides numerical methods for solving these problems using suitable algorithms and for writing computer codes to find solutions. For discrete...
Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms...
A Primer on Quantum Computing (SpringerBriefs in Computer Science)
A Primer on Quantum Computing (SpringerBriefs in Computer Science)
This book is about quantum computing and quantum algorithms. The book starts with a chapter introducing the basic rules of quantum mechanics and how they can be used to build quantum circuits and perform computations.

Further, Grover's algorithm is presented for unstructured search discussing its consequences and
...
Globalization: A Basic Text
Globalization: A Basic Text

Updated to reflect recent global developments, the second edition of Globalization: A Basic Text presents an up-to-date introduction to major trends and topics relating to globalization studies.

  • Features updates and revisions in its accessible introduction to key theories and major topics in...
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
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