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Machine Learning and Robot Perception (Studies in Computational Intelligence)
Machine Learning and Robot Perception (Studies in Computational Intelligence)
This book presents some of the most recent research results in the area of machine learning and robot perception. The book contains eight chapters.

Relevant progress has been done, within the Robotics field, in mechanical systems, actuators, control and planning. This fact, allows a wide application of industrial robots, where
...
Intelligent Autonomous Systems: Foundations and Applications
Intelligent Autonomous Systems: Foundations and Applications

Intelligent Autonomous Systems (IAS) are the physical embodiment of machine intelligence providing a core concept for integrating various advanced technologies with pattern recognition and learning. The basic philosophy of IAS research is to explore and understand the nature of intelligence in problems of perception, reasoning, learning and...

Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python
Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras

Key Features

  • Implement machine learning algorithms to build, train, and validate algorithmic models
  • Create your own algorithmic design process to apply...
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.

Key Features

  • Explore deep reinforcement learning (RL), from the first principles to the latest algorithms
  • Evaluate high-profile RL methods, including value...
Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch
Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by...
Essentials of Research Design and Methodology (Essentials of Behavioral  Science)
Essentials of Research Design and Methodology (Essentials of Behavioral Science)
Master the essential skills for designing and conducting a successful research project

Essentials of Research Design and Methodology contains practical information on how to design and conduct scientific research in the behavioral and social sciences. This accessible guide covers basic to advanced concepts in a clear, concrete, and readable...

The Art of Error Correcting Coding
The Art of Error Correcting Coding
Building on the success of the first edition, which offered a practical introductory approach to the techniques of error concealment, this book, now fully revised and updated, provides a comprehensive treatment of the subject and includes a wealth of additional features. The Art of Error Correcting Coding, Second Edition explores...
Foundations and Novel Approaches in Data Mining (Studies in Computational Intelligence)
Foundations and Novel Approaches in Data Mining (Studies in Computational Intelligence)
Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the...
Knowledge-Based Neurocomputing
Knowledge-Based Neurocomputing
Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing environment. In knowledge-based...
Principles of Computer Graphics: Theory and Practice Using OpenGL and Maya®
Principles of Computer Graphics: Theory and Practice Using OpenGL and Maya®
to think about what it means. What is Computer Graphics? Simply defined, Computer Graphics (or CG) is the images generated or modified on a computer. These images may be visualizations of real data or imaginary depictions of a fantasy world.

The use of Computer Graphics effects in movies such as The Incredibles and games such as Myst
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Budgeting for Managers
Budgeting for Managers
Iremember the first time I made a budget. I had just started a new job, my first time as a manager. My boss, the dean of the school, said, “Sid, we have $50,000 to spend on computer systems this year. Please prepare a budget.”

Wow! All the exercises in school, all my thinking as I started the job and wrote out a plan for my
...
Numerical Computing with IEEE Floating Point Arithmetic
Numerical Computing with IEEE Floating Point Arithmetic

Are you familiar with the IEEE floating point arithmetic standard? Would you like to understand it better? This book gives a broad overview of numerical computing, in a historical context, with a special focus on the IEEE standard for binary floating point arithmetic. Key ideas are developed step by step, taking the reader from floating point...

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