Tackle the complex challenges faced while building end-to-end deep learning models using modern R libraries Key Features Understand the intricacies …
Ubiquitous, mobile supercomputing. Artificially-intelligent robots. Self-driving cars. Neuro-technological brain enhancements. Genetic editing. The evidence of dramatic change is all around …
Intelligence Unbound explores the prospects, promises, and potential dangers of machine intelligence and uploaded minds in a collection of state-of-the-art …
A dizzying display of intellect and wild imaginings by Moravec, a world-class roboticist who has himself developed clever beasts . …
This book provides an introduction to basic notions and relevant techniques used to obtain quantitative results in statistical mechanics of …
This book offers a clear and comprehensive introduction to the field of evolutionary computation: the use of evolutionary systems as …
Space support in databases poses new challenges in every part of a database management system & the capability of spatial …
In 1984, N. Karmarkar published a seminal paper on algorithmic linear programming. During the subsequent decade, it stimulated a huge …
Mind design is the endeavor to understand mind (thinking, intellect) in terms of its design (how it is built, how …
This book constitutes the conference proceedings of the 6th International Conference on Algorithmic Decision Theory, ADT 2019, held in Durham, …
Get started with artificial intelligence in your business. This book will help you understand AI, its implications, and how to …
"Here is a copyrighted, SEO-optimized description of the book "Ourselves and Computers: Difference in Minds and Machines" by Aart Bijl …
This is the first book to compare eight LDFs by different types of datasets, such as Fisher’s iris data, medical …
Takes a long-term view of the future. Offers a fresh look at how key global trends might develop over the …
This book illustrates important ways in which new parallel hardware is being used to improve the speed and usefulness of …
Parameterized complexity is currently a thriving field in complexity theory and algorithm design. A significant part of the success of …
Save your money! I bought this through Kindle so I didn't even pay full price for it, thankfully! The first …
Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and …
This book provides an overview of the burgeoning next generation of industry- Industry 4.0, which promises to increase flexibility in …
Reinforcement learning (RL) has led to several breakthroughs in AI. The use of the Q-learning (DQL) algorithm alone has helped …
The R language is a powerful open source functional programming language. At its core, R is a statistical programming language …
The classic text on robot manipulators now covers visual control, motion planning and mobile robots too! Robotics provides the basic …
Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation …
This book constitutes the thoroughly refereed conference proceedings of the Third International Conference on Algorithmic Decision Theory, ADT 2013, held …
""Discover the power of Machine Learning, Neural, and Statistical Classification with this comprehensive guide written by esteemed author Michie D. …
R has been the gold standard in applied machine learning for a long time. Surveys show that it is the …
This book is an edited collection of chapters written by knowledgeable researchers in the field of evolutionary computation. The collection …
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we …
Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. In evolving …
In recent decades digital devices have reshaped daily life, while tech companies stock prices have thrust them to the forefront …
Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific …
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Quantum computing is a field in which advanced technologies like quantum communication, artificial intelligence and machine learning can be used …
The main intention of this book is to bring together contributions from biology, cognitive science, and the humanities for a …
instructor's manual officially retrieved off MIT Press -- if you ever find errors in it (there might be some), blame …
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With …
Decisions: You make hundreds every day, but do you really know how they are made? When can you trust fast, …
