Machine learning is rapidly changing the world, from diverse types of applications and research pursued in industry and academia.
Machine learning is affecting every part of your daily life. From voice assistants using NLP and machine learning to make appointments, check your calendar, and play music,...
This chapter gives an overview of quantum solutions. You will
see how quantum computing can be applied in real life. The
problem and solutions are presented with the solution benefits.
The solution benefits are automation, cost reduction and profit
improvements, efficiency improvement, and defect reduction.
The solutions...
Crypto Dictionary is your full reference resource for all things cryptography.
Cryptography from A5/0 to ZRTP
Expand your mind—and your crypto knowledge—with the ultimate desktop dictionary for all things cryptography. Written by a globally recognized cryptographer for...
Dive Into Algorithms is a broad introduction to algorithms using the Python Programming Language.
Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math,...
Harness the untapped potential of combining a decentralized Internet of Things (IoT) with the ability to make predictions on real-world fuzzy data. This book covers the theory behind machine learning models and shows you how to program and assemble a voice-controlled security.
The goal of this book is to develop efficient optimization algorithms to solve diverse real-world problems of graded difficulty. Genetic and evolutionary mechanisms have been deployed for reaching the goal.
This book has made five significant contributions in the realm of genetic and evolutionary computation (GEC).
In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to...
Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.
Over the past few decades the powerful methods of statistical physics and Euclidean quantum field theory have moved closer together, with common tools based on the use of path integrals. The interpretation of Euclidean field theories as particular systems of statistical physics has opened up new avenues for understanding strongly coupled...
This volume demonstrates the power of the Markov random field (MRF) in vision, treating the MRF both as a tool for modeling image data and, utilizing recently developed algorithms, as a means of making inferences about images. These inferences concern underlying image and scene structure as well as solutions to such problems as image...
Computer algebra is the field of mathematics and computer science that is concerned with the development, implementation, and application of algorithms that manipulate and analyze mathematical expressions. This book and the companion text, Computer Algebra and Symbolic Computation: Mathematical Methods, are an introduction to the subject that...
