Technical analysis, also known as "charting," has been a part of financial practicefor many decades, but this discipline has not …
Although number theorists have sometimes shunned and even disparaged computation in the past, today's applications of number theory to cryptography …
This is a textbook about classical elementary number theory and elliptic curves. The first part discusses elementary topics such as …
This exciting and pioneering new overview of multiagent systems, which are online systems composed of multiple interacting intelligent agents, i.e., …
As computers advance from isolated workstations to linked elements in complex communities of systems and people, cooperation and coordination via …
Game theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically …
Fair Division, unlike most research on fairness in the social sciences and mathematics, is devoted solely to the analysis of …
Control the performance and stability of the apps you develop in Swift by working with and understanding advanced concepts in …
This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the …
Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy …
In its third revised and extended edition the book offers an overview of the techniques used to solve problems in …
Are some areas of fast Fourier transforms still unclear to you? Do the notation and vocabulary seem inconsistent? Does your …
Personally, I am satisfied with what I bought. I wrote an uninspired fast fourier transform from its mathematical formula and …
Аннотация.Are some areas of fast Fourier transforms still unclear to you? Do the notation and vocabulary seem inconsistent? Does your …
Inside The Black BoxThe Simple Truth About Quantitative TradingRishi K NarangPraise forInside the Black Box"In Inside the Black Box: The …
Pattern Recognition Algorithms for Data Mining covers the topic of data mining from a pattern recognition perspective. This unique book …
This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal …
Build a strong foundation of machine learning algorithms in 7 daysKey FeaturesUse Python and its wide array of machine learning …
This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications …
The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of …
This book includes selected papers presented at International Conference on Computational Intelligence, Data Science,, and Cloud Computing (IEM-ICDC 2021), organized …
This book constitutes the refereed proceedings of the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, …
As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over …
Interpretable Machine Learning 2ed(2022) [Molnar] [9798411463330]
This book presents techniques for designing fast, energy-efficient and timing predictable memory systems. By using a careful combination of compiler …
The objective of program analysis is to automatically determine the p- perties of a program. Tools of software development, such …
Multi Agent Systems (MAS) have recently attracted a lot of interest because of their ability to model many real life …
The starting point in the formulation of any numerical problem is to take an intuitive idea about the problem in …
This book explains the principal techniques of data mining, for classification, association rule mining and clustering. Each topic is clearly …
Cover ; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: How to Sound …
We are pleased to present the proceedings of the 13th European Conference on Machine Learning (LNAI 2430) and the 6th …
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data …
An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the …
Ten years ago Bill Gale of AT&T Bell Laboratories was primary organizer of the first Workshop on Artificial Intelligence and …
Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the …
This textbook provides an easy-to-understand introduction to the mathematical concepts and algorithms at the foundation of Data Science. It covers …
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