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.

Название: Hands-On Healthcare dаta: Taming the Complexity of Real-World Data (Final)
Автор: Andrew Nguyen
Издательство: O’Reilly Media, Inc.
Год: 2022
Страниц: 245
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.2 MB

Healthcare is the next frontier for Data Science. Using the latest in Machine Learning, Deep Learning, and natural language processing (NLP), you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved. But first, you have to learn how to access and make sense of all that data. This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and harmonization to feature engineering. Author Andrew Nguyen covers specific ML and Deep Learning examples with a focus on producing high-quality data.

Название: System Design : Learn how to design systems at scale and prepare for system design interviews
Автор: Karan Pratap Singh
Издательство: Leanpub
Год: 2022-10-13
Страниц: 276
Язык: английский
Формат: pdf (true)
Размер: 37.0 MB

Learn how to design systems at scale and prepare for system design interviews. System design interviews can be quite open-ended and intimidating as it is a very extensive topic. There can be multiple solutions to even the most basic system design problems. My objective with this book is to help you learn the fundamentals and explore the advanced topics of system design. This will also provide you with a reliable strategy to prepare for system design interviews. System design is the process of defining the architecture, interfaces, and data for a system that satisfies specific requirements. System design meets the needs of your business or organization through coherent and efficient systems. It requires a systematic approach to building and engineering systems. A good system design requires us to think about everything, from infrastructure all the way down to the data and how it's stored.

Название: Data-driven BIM for Energy Efficient Building Design
Автор: Saeed Banihashemi, Hamed Golizadeh
Издательство: Routledge
Год: 2023
Страниц: 187
Язык: английский
Формат: pdf (true)
Размер: 14.0 MB

This research book aims to conceptualise the scale and spectrum of Building Information Modelling (BIM) and Artificial Intelligence (AI) approaches in energy efficient building design and develop its functional solutions with a focus towards four crucial aspects of building envelop, building layout, occupant behaviour and heating, ventilation and air-conditioning (HVAC) systems. Drawn from the theoretical development on the sustainability, informatics and optimisation paradigms in built environment, the energy efficient building design will be marked through the power of data and BIM intelligent agents during the design phase. It will be further developed via smart derivatives to reach a harmony in the systematic integration of energy efficient building design solutions; a gap which is missed in the extant literature and this book aims to fill that. This approach will inform a vision for future, provide a framework to shape and respond to our built environment and how it transforms the way we design and build. By considering the balance of BIM, AI and energy efficient outcomes, the future development of buildings will be regenerated in a direction that are sustainable in the long run. This book is essential reading for those in the AEC industry as well as computer scientists. This category of BIM, which is adopted into EED, is internally interoperable through utilising the inbuilt information and includes Autodesk GBS, Autodesk Formit 360, Graphisoft EcoDesigner and Bentley AECOsim Energy Simulator.

Название: Advances and Innovations in Statistics and Data Science
Автор: Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin
Издательство: Springer
Серия: ICSA Book Series in Statistics
Год: 2022
Страниц: 338
Язык: английский
Формат: pdf (true), epub
Размер: 29.3 MB

This book covers a variety of topics, including methodology development in Data Science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. With this book, readers can make use of frontier research methods to tackle their problems in research, education, training and consultation.