Der größte Teil des Weltwissens ist in digital verfügbaren Texten beschrieben. Diese Texte stellen einen bedeutsamen Wissensrohstoff dar, doch wie kann dieses Wissen extrahiert werden? Lernen Sie in……続きを見る
This book addresses several knowledge discovery problems on multi-sourced data where the theories, techniques, and methods in data cleaning, data mining, and natural language processing are syntheti……続きを見る
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Spec……続きを見る
This Springer Brief presents a selection of tools and techniques which either enable or improve the use of DevOps for airborne software engineering. They are evaluated against the unique challenges ……続きを見る
The book focuses on mathematical modelling of COVID-19 pandemic using the Susceptible, Infectious, and Recovered (SIR) model. The predictive modelling of the disease, with the exact facts and figure……続きを見る
This book, more in the nature of a reference book, is exclusively application based and is ideal for every student/ CA/User in taking charge to successfully implement Tally.ERP for GST compliance. T……続きを見る
This book introduces readers to advanced data science techniques for signal mining in connection with agriculture. It shows how to apply heuristic modeling to improve farm-level efficiency, and how ……続きを見る
Build cutting edge machine and deep learning systems for the lab, production, and mobile devices.
Purchase of the print or Kindle book includes a free eBook in PDF format.
Key Features
Understand t……続きを見る
Do meu ponto de vista, um bom design de software é a essência de todo projeto de software bem-sucedido. Ainda assim, apesar de seu papel fundamental, há tão pouca literatura sobre o assunto e muito ……続きを見る
Understand the different access control paradigms available in the Snowflake Data Cloud and learn how to implement access control in support of data privacy and compliance with regulations such as G……続きを見る
Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples Updated for PyTorch 2.x, including integration with Hugging Face, mobile deployment, diffusion m……続きを見る
This book sheds light on state-of-the-art theories for more challenging outfit compatibility modeling scenarios. In particular, this book presents several cutting-edge graph learning techniques that……続きを見る
This book explores the application of data mining and machine learning techniques in studying the activity pattern, decision-making skills, misconducts, and actions resulting in the intervention of ……続きを見る
Für Leser, die bereits die Grundlagen der Wissensverarbeitung und Computernetzwerke beherrschen, gibt das Buch einen Überblick über innovative Verfahren, die die automatisierte Suche, Recherche, Kla……続きを見る
著者:Ye Yuan, Xin Luo
出版社: Springer Nature Singapore
発売日: 2022年11月15日
Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and sparse matrices, which are encountered in many big-data-related industrial applicati……続きを見る
This book discusses the principles and practical applications of data science, addressing key topics including data wrangling, statistics, machine learning, data visualization, natural language proc……続きを見る
Descrição do livro Este guia essencial abrange todos os aspectos da administração do sistema Linux, desde a manutenção do usuário, backups, limpeza do sistema de arquivos, gerenciamento de armazenam……続きを見る
This book discusses the role of mobile network data in urban informatics, particularly how mobile network data is utilized in the mobility context, where approaches, models, and systems are develope……続きを見る
"La Era Virtual: Un mundo de algoritmos, bots e inteligencia artificial para ti"
Describe cómo hoy damos lo mejor de nosotros cuando hacemos clic a una determinada propuesta, damos nuestro amor en u……続きを見る
Características principais Este livro enfoca o paradigma funcional do C#, que lhe dará um novo ângulo de codificação com C# Ele ilustra as vantagens que a programação funcional traz para a mesa e os……続きを見る
Introdução •O que é GoLang? •Principais conceitos •Vantagens e desvantagens •Noções básicas de sintaxe e código •informação adicional Go Language é uma linguagem de computador de código aberto que e……続きを見る
Curso Intensivo de Desenvolvimento Frontend Neste capítulo •Como funciona a web •Introdução ao desenvolvimento web •Desenvolvimento front-end •Vantagens e desvantagens Este capítulo discutirá o dese……続きを見る
著者:Reagan W. Moore
出版社: Springer International Publishing
発売日: 2023年01月22日
This book discusses how a genealogical history of the modern world can be created by linking the Royal Families of Western Europeans database to Unifying Ancestry. This new edition extends the origi……続きを見る
This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in……続きを見る
In der vorliegenden Arbeit wird die Datenqualität eines Forschungsinformationssystems (FIS) bzw. deren Einfluss auf die Nutzerakzeptanz ganzheitlich untersucht. Otmane Azeroual entwickelt hierfür ei……続きを見る
This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the ne……続きを見る
Machine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of in……続きを見る
Mobile crowdsensing is a new sensing paradigm that utilizes the intelligence of a crowd of individuals to collect data for mobile purposes by using their portable devices, such as smartphones and we……続きを見る
The Rise of A.I. explores the many possibilities that can happen once A.I., also known as Artificial Intelligence, develops even further, perhaps even to the extinction of the human race. Today, the……続きを見る
This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, an……続きを見る