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Название: Fuzzy Computing in Data Science: Applications and Challenges
Автор: Sachi Nandan Mohanty, Prasenjit Chatterjee
Издательство: Wiley-Scrivener
Год: 2023
Страниц: 363
Язык: английский
Формат: pdf (true)
Размер: 20.1 MB

This book comprehensively explains how to use various fuzzy-based models to solve real-time industrial challenges. The book provides information about fundamental aspects of the field and explores the myriad applications of fuzzy logic techniques and methods. It presents basic conceptual considerations and case studies of applications of fuzzy computation. It covers the fundamental concepts and techniques for system modeling, information processing, intelligent system design, decision analysis, statistical analysis, pattern recognition, automated learning, system control, and identification. The book also discusses the combination of fuzzy computation techniques with other computational intelligence approaches such as neural and evolutionary computation.

Название: Advances in Data Science and Analytics: Concepts and Paradigms
Автор: M. Niranjanamurthy, Hemant Kumar Gianey
Издательство: Wiley-Scrivener
Серия: Advances in Data Engineering and Machine Learning
Год: 2022
Страниц: 353
Язык: английский
Формат: pdf (true)
Размер: 11.66 MB

ADVANCES in DATA SCIENCE and ANALYTICS Presenting the concepts and advances of data science and analytics, this volume, written and edited by a global team of experts, also goes into the practical applications that can be utilized across multiple disciplines and industries, for both the engineer and the student, focusing on machining learning, Big ata, business intelligence, and analytics. Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from many structural and unstructured data. Data Science is related to data mining, Deep Learning, and Big Data. Data analytics software is a more focused version of this and can even be considered part of the larger process. Analytics is devoted to realizing actionable insights that can be applied immediately based on existing queries. For the purposes of this volume, data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. While a data scientist is expected to forecast the future based on past patterns, data analysts extract meaningful insights from various data sources.

Название: The Future of Data Mining
Автор: Cem Ufuk Baytar
Издательство: Nova Science Publishers
Год: 2022
Страниц: 156
Язык: английский
Формат: pdf (true)
Размер: 14.1 MB

The purpose of this book is to discuss data mining, which is a subset of Data Science, from a variety of perspectives. With the technological advances of recent years, new software and hardware-based systems are available in most business environments. With these systems, data production continues to increase in personal, corporate, commercial and many other areas. Information systems convert raw data, which alone are not so meaningful, into information after the processes are applied. Database systems are necessary for the storage and management of the information generated. Revealing meaningful relationships hidden in a stack of high-volume data shows the function of data mining. Processing Big Data has become important to produce information that will support business decisions and be a strategic tool in today's competitive environment. In this context, the effectiveness of data mining applications is increasing day by day as a decision support system to develop marketing strategies in every sector by identifying customer behavior and target groups.

Название: Alternative Data and Artificial Intelligence Techniques: Applications in Investment and Risk Management
Автор: Qingquan Tony Zhang, Beibei Li, Danxia Xie
Издательство: Palgrave Macmillan
Год: 2022
Страниц: 340
Язык: английский
Формат: pdf (true), epub
Размер: 28.4 MB

This book introduces a state-of-art approach in evaluating portfolio management and risk based on artificial Intelligence (AI) and alternative data. The book covers a textual analysis of news and social media, information extraction from GPS and IoTs data, and risk predictions based on small transaction data, etc. The book summarizes and introduces the advancement in each area and highlights the Machine Learning (ML) and Deep Learning (DL) techniques utilized to achieve the goals. As a complement, it also illustrates examples on how to leverage the Python package to visualize and analyze the alternative datasets, and will be of interest to academics, researchers, and students of risk evaluation, risk management, data, AI, and financial innovation. Machine Learning techniques include supervised learning (regression, classification), unsupervised learning (factor analysis, clustering), and new technologies for Deep and Reinforcement Learning which are often used to analyze unstructured data and show promise in identifying data patterns in structured data.

Название: macOS Ventura For Dummies
Автор: Guy Hart-Davis
Издательство: For Dummies
Год: 2023
Страниц: 499
Язык: английский
Формат: pdf (true)
Размер: 29.4 MB

Learn the ins and outs of macOS Ventura. macOS Ventura For Dummies is packed with all the information you need on this latest version of macOS. With expert tips, tricks, and troubleshooting ideas, it’s the trusted guide for those new to Mac computers and those upgrading their systems. Learn how to organize your files, ensure that your data is secure, work more efficiently, and take advantage of the newest features. Dummies helps you navigate the interface, use helpful shortcuts, and beyond—the easy way. Why write a For Dummies book about macOS Ventura? Well, Ventura is a big, somewhat-complicated personal-computer operating system. So macOS Ventura For Dummies, a not-so-big, not-too-complicated book, shows you what Ventura is all about without boring you to tears or poking you with sharp objects.

Название: Data Governance For Dummies
Автор: Jonathan Reichental
Издательство: For Dummies
Год: 2023
Страниц: 291
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

How to build and maintain strong data organizations—the Dummies way. Data Governance For Dummies offers an accessible first step for decision makers into understanding how data governance works and how to apply it to an organization in a way that improves results and doesn't disrupt. Prep your organization to handle the data explosion (if you know, you know) and learn how to manage this valuable asset. Take full control of your organization’s data with all the info and how-tos you need. This book walks you through making accurate data readily available and maintaining it in a secure environment. It serves as your step-by-step guide to extracting every ounce of value from your data. This is the perfect handbook for professionals in the world of data analysis and business intelligence, plus the people who interact with data on a daily basis. And, as always, Dummies explains things in terms anyone can understand, making it easy to learn everything you need to know. Big Data is structured and unstructured data that is so massive and complex in scale, that it’s difficult and often impossible to process via traditional data management techniques.

Название: Beginner’s Guide to the Unix Terminal: Learn bash and the Unix core utilities in a relaxed way
Автор: Leonardo Giordani
Издательство: Leanpub
Год: 2020-05-13
Страниц: 99
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

If you are a programmer, nowadays you probably got in touch with Open Source software, with version control system like Git, with cloud services like AWS, with some dynamic language like Python or Ruby. What do all these things have in common? Many things probably, but one of them is definitely that they are rooted in the Unix world. That of Unix is a rich world, and this book will not even scratch the surface. but one of the most powerful things Unix systems have is the command line. Yes, today, with AIs constantly processing everything we search and do online, mobile phones with perfect user interfaces, and proper virtual reality around the corner, the good old green-on-black terminal still has something to say. More than something! The command line is a tool that I think will never get too old to be useful. I am happy when the GUI of some program is simple and well designed, but there is simply nothing that can give you more power than the command line. So, long story short, you should definitely learn at least the fundamentals of the command line!

Название: Data Warehouse Systems: Design and Implementation, Second Edition
Автор: Alejandro Vaisman, Esteban Zimanyi
Издательство: Springer
Год: 2022
Формат: PDF
Страниц: 713
Размер: 17.65 MB
Язык: English

With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes “Fundamental Concepts” including conceptual and logical data warehouse design, as well as querying using MDX, DAX and SQL/OLAP.

Название: Machine Learning and Probabilistic Graphical Models for Decision Support Systems
Автор: Editor Kim Phuc Tran
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 330
Размер: 16,26 MB
Язык: English

This book presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS for supply chain management, etc.

Название: Data Quality Fundamentals: A Practitioner’s Guide to Building Trustworthy Data Pipelines (Final Release)
Автор: Barr Moses, Lior Gavish, and Molly Vorwerck
Издательство: O’Reilly Media, Inc.
Год: 2022
Страниц: 311
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.1 MB, 12.8 MB

Do your product dashboards look funky? Are your quarterly reports stale? Is the dataset you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to any of the questions above, this book is for you. Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck from the data reliability company Monte Carlo explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies.