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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...
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
...
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...
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...
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...

Electrochemical Nanotechnologies (Nanostructure Science and Technology)
Electrochemical Nanotechnologies (Nanostructure Science and Technology)

In this book, the term "electrochemical nanotechnology" is defined as nanoprocessing by means of electrochemical techniques. This introductory book reviews the application of electrochemical nanotechnologies with the aim of understanding their wider applicability in evolving nanoindustries. These advances have impacted...

Introduction to THz Wave Photonics
Introduction to THz Wave Photonics

The proposed book explores the science and technology related to terahertz wave technologies, including the latest research on electromagnetic waves with an introduction to continuous wave THz technology and an emphasis on pulsed THz technology. The book begins with a review of the history of THz wave generation and detection methods and moves...

Cases on Semantic Interoperability for Information Systems Integration: Practices and Applications
Cases on Semantic Interoperability for Information Systems Integration: Practices and Applications

Semantic interoperability provides the means to automatically process and integrate large amounts of information without human intervention. Cases on Semantic Interoperability for Information Systems Integration: Practices and Applications provides an in-depth analysis of issues involved with the application of semantic interoperability...

Fault Location on Power Networks (Power Systems)
Fault Location on Power Networks (Power Systems)

Electric power systems will always be exposed to the failure of their components. When a fault occurs on a line, it is crucial for the fault location to be identified as accurately as possible, allowing the damage caused by the fault to be repaired quickly before the line is put back into service. Fault Location on Power Lines enables...

Radiation Hormesis and the Linear-No-Threshold Assumption
Radiation Hormesis and the Linear-No-Threshold Assumption

Current radiation protection standards are based upon the application of the linear no-threshold (LNT) assumption, which considers that even very low doses of ionizing radiation can cause cancer. The radiation hormesis hypothesis, by contrast, proposes that low-dose ionizing radiation is beneficial. In this book, the author examines all facets...

Handbook of Sport Psychology
Handbook of Sport Psychology

It certainly is gratifying and exciting for me, as coeditor of the two previous editions of this Handbook (i.e., Singer, Murphy, & Tennant, 1993; Singer, Hausenblas, & Janelle, 2001), to realize the impact this type of resource book has had on the field of sport psychology in general, and on so many individuals around the world. These...

Infectious Disease Informatics
Infectious Disease Informatics

Infectious Diseases Informatics

Edited by

Vitali Sintchenko

The University of Sydney, Sydney, Australia

Preface.- List of contributors.- 1Informatics for Infectious Disease Research and Control.- 2 Bioinformatics of Microbial Sequences.- 3 Mining Databases for Microbial Gene Sequences.- 4 Comparative Genomics of...

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