COVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of arti……続きを見る
This is the first study of Boko Haram that brings advanced data-driven, machine learning models to both learn models capable of predicting a wide range of attacks carried out by Boko Haram, as well ……続きを見る
著者:Manfred Dietrich
出版社: Springer Fachmedien Wiesbaden
発売日: 2021年01月23日
Dieser Ratgeber zeigt Lösungsvarianten sowie Vorgehensmodelle auf und liefert einen schnellen Überblick, Entscheidungshilfen, praxisgerechte Hinweise, Erfahrungshintergrund aus Projekten und Experte……続きを見る
Get to grips with automated machine learning and adopt a hands-on approach to AutoML implementation and associated methodologies
Key Features
Get up to speed with AutoML using OSS, Azure, AWS, GCP,……続きを見る
This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis. It describes how uncertainties, involved in the task of vide……続きを見る
This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications s……続きを見る
Build interactive courses for online learning using Google's learning management solution Key Features • Discover best practices for developing a creative educational experience using the features o……続きを見る
This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in the field of machine learning. It consists of three p……続きを見る
With the proliferation of GPS devices in daily life, trajectory data that records where and when people move is now readily available on a large scale. As one of the most typical representatives, it……続きを見る
From finance to artificial intelligence, genetic algorithms are a powerful tool with a wide array of applications. But you don't need an exotic new language or framework to get started; you can lear……続きを見る
Machine learning algorithms hold extraordinary promise, but the reality is that their success depends entirely on the suitability of the data available. This book is about Ripple-Down Rules (RDR), a……続きを見る
This book sets the stage of the evolution of corporate governance, laws and regulations, other forms of governance, and the interaction between data governance and other corporate governance sub-dis……続きを見る
著者:Abdelwaheb Hannachi
出版社: Springer International Publishing
発売日: 2021年06月07日
Advances in computer power and observing systems has led to the generation and accumulation of large scale weather & climate data begging for exploration and analysis. Pattern Identification and Dat……続きを見る
This book introduces the concepts of mobility data and data-driven urban traffic monitoring. A typical framework of mobility data-based urban traffic monitoring is also presented, and it describes t……続きを見る
著者:Dirk Lewandowski
出版社: Springer Berlin Heidelberg
発売日: 2021年07月30日
Suchmaschinen dienen heute selbstverständlich als Werkzeuge, um Informationen zu recherchieren. Doch wie funktionieren sie genau? Das Buch betrachtet Suchmaschinen aus vier Perspektiven: Technik, Nu……続きを見る
著者:Andrew Banasiewicz
出版社: Springer International Publishing
発売日: 2021年08月09日
This book discusses the impact of advanced information technologies, such as data processing, machine learning, and artificial intelligence, on organizational decision-making processes and practices……続きを見る
This book provides insights into smart ways of computer log data analysis, with the goal of spotting adversarial actions. It is organized into 3 major parts with a total of 8 chapters that include a……続きを見る
This book delves into the concept of data as a critical enterprise asset needed for informed decision making, compliance, regulatory reporting and insights into trends, behaviors, performance and pa……続きを見る
This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-ba……続きを見る
著者:Xiang Zhang, Lina Yao
出版社: World Scientific Publishing Company
発売日: 2021年09月14日
Deep Learning for EEG-Based Brain-Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain-Computer Interfaces (BCI) in terms of rep……続きを見る
A graduate-level textbook, Hybrid Dynamical Systems provides an accessible and comprehensive introduction to the theory of hybrid systems. It emphasizes results that are central to a good understand……続きを見る
This book introduces the Internet access for vehicles as well as novel communication and computing paradigms based on the Internet of vehicles.
To enable efficient and reliable Internet connection f……続きを見る
Understand the essentials of the Snowflake Database and the overall Snowflake Data Cloud. This book covers how Snowflake’s architecture is different from prior on-premises and cloud databases. The a……続きを見る
This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly,……続きを見る
This volume focuses on predicting users’ attendance at a future event at specific time and location based on their common interests. Event attendance prediction has attracted considerable attention ……続きを見る
From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated wi……続きを見る
Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand ……続きを見る
Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, pers……続きを見る
Affective computing is a nascent field situated at the intersection of artificial intelligence with social and behavioral science. It studies how human emotions are perceived and expressed, which th……続きを見る
AI is going to be HUGE in the future, according to every technology, futurist, and thinker you can think of.
However, it's fascinating to consider how AI will impact various businesses and elements ……続きを見る