Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to …
Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an …
The Science of Algorithmic Trading and Portfolio Management, with its emphasis on algorithmic trading processes and current trading models, sits …
The Parallel Programming Guide for Every Software Developer From grids and clusters to next-generation game consoles, parallel computing is going …
The presence of uncertainty in a system description has always been a critical issue in control. Moving on from earlier …
The multidisciplinary field of quantum computing strives to exploit some of the uncanny aspects of quantum mechanics to expand our …
This book integrates the foundations of quantum computing with a hands-on coding approach to this emerging field; it is the …
Quantum computing explained in terms of elementary linear algebra, emphasizing computation and algorithms and requiring no background in physics. This …
The combination of two of the twentieth century's most influential and revolutionary scientific theories, information theory and quantum mechanics, gave …
Quantum computing is a beautiful fusion of quantum physics with computer science. It incorporates some of the most stunning ideas …
The book is a step-by-step guide to learning how to code and anyone interested in programming and motivated to go …
Programming Game AI by Example provides a comprehensive and practical introduction to the bread and butter AI techniques used by …
Model checking is a computer-assisted method for the analysis of dynamical systems that can be modeled by state-transition systems. Drawing …
This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine …
This book constitutes the refereed proceedings of the Second International Conference on Algorithmic Decision Theory, ADT 2011, held in Piscataway, …
This book constitutes the conference proceedings of the 5th International Conference on Algorithmic Decision Theory , ADT 2017, held in …
This book constitutes the conference proceedings of the 6th International Conference on Algorithmic Decision Theory, ADT 2019, held in Durham, …
A practitioner's tools have a direct impact on the success of his or her work. This book will provide the …
This authoritative, expanded and updated second edition of Encyclopedia of Machine Learning and Data Mining provides easy access to core …
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we …
We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We …
Discover valuable machine learning techniques you can understand and apply using just high-school math. In Grokking Machine Learning you will …
This book is written for software product teams that use AI to add intelligent models to their products or are …
Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document …
Explore Golang's data structures and algorithms to design, implement, and analyze code in the professional setting Key Features Learn the …
For every generalization I make about biology, there may well be thousands of exceptions.There are a lot of living things …
This book constitutes the thoroughly refereed proceedings of the 23rd International Conference on Concurrency Theory, CONCUR 2012, held in Newcastle …
