Tag: Data

Discovering Computers Digital Technology, Data, and Devices (MindTap Course List)


Free Download Discovering Computers: Digital Technology, Data, and Devices (MindTap Course List) by Jennifer T. Campbell, Mark Ciampa, Steven M. Freund
English | October 5, 2022 | ISBN: 0357675363 | 624 pages | PDF | 83 Mb
DISCOVERING COMPUTERS: DIGITAL TECHNOLOGY, DATA, AND DEVICES, 17th edition, teaches you not only the basics of technology, but also how you will use it – and the responsibilities that go along with being a digital citizen. Focusing on current technology, the content addresses convergence of devices and platforms. Each module integrates practical how-to tips, ethics issues and security topics, while Consider This boxes woven throughout help you sharpen your critical-thinking skills. A variety of end-of-module activities – checkpoint questions, small group activities and problem-solving exercises – enable you to put what you learn into practice. MindTap digital learning solution is also available. Using an inviting approach that ensures understanding, DISCOVERING COMPUTERS equips you with the information you need for success at home, school and work.

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Dirty Data Processing for Machine Learning


Free Download Dirty Data Processing for Machine Learning by Zhixin Qi, Hongzhi Wang, Zejiao Dong
English | November 30, 2023 | ISBN: 9819976561 | 146 pages | MOBI | 15 Mb
In both the database and machine learning communities, data quality has become a serious issue which cannot be ignored. In this context, we refer to data with quality problems as "dirty data." Clearly, for a given data mining or machine learning task, dirty data in both training and test datasets can affect the accuracy of results. Accordingly, this book analyzes the impacts of dirty data and explores effective methods for dirty data processing.

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Data-Driven HR How to Use AI, Analytics and Data to Drive Performance, 2nd Edition


Free Download Data-Driven HR: How to Use AI, Analytics and Data to Drive Performance, 2nd Edition by Bernard Marr
English | December 3rd, 2023 | ISBN: 1398614564 | 240 pages | True EPUB | 1.42 MB
How can HR professionals utilize and leverage their organization’s data effectively, with the use of AI, for more talent attraction, better employee engagement and higher talent retention to ultimately drive performance?

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Data and Applications Security and Privacy XXXVI


Free Download Shamik Sural, Haibing Lu, "Data and Applications Security and Privacy XXXVI"
English | 2022 | ISBN: 3031106830 | PDF | pages: 330 | 14.6 mb
This book constitutes the refereed proceedings of the 36th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2022, held in Newark, NJ, USA, in July 2022.

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Data Structures and Algorithms (DSA) Tutorial Data Structures and Algorithms for Beginners


Free Download Data Structures and Algorithms (DSA) Tutorial : Data Structures and Algorithms for Beginners by Kavishankar Panchtilak
English | 2024 | ISBN: B0CW1DWH65 | 187 pages | MOBI | 28 Mb
Why to Learn Data Structures & Algorithms (DSA)? As applications are getting complex and data rich, there are three common problems that applications face now-a-days. Data Search − Consider an inventory of 1 million(106) items of a store. If the application is to search an item, it has to search an item in 1 million(106) items every time slowing down the search. As data grows, search will become slower. Processor speed − Processor speed although being very high, falls limited if the data grows to a billion records. Multiple requests − As thousands of users can search data simultaneously on a web server, even the fast server fails while searching the data. To solve the above-mentioned problems, data structures come to the rescue. Data can be organised in a data structure in such a way that all items may not be required to be searched, and the required data can be searched almost instantly.

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Data Modeling with Microsoft Power BI Self-Service and Enterprise Data Warehouses with Power BI


Free Download Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouses with Power BI by Markus Ehrenmueller-Jensen
English | July 16th, 2024 | ISBN: 109814855X | 485 pages | True PDF | 15.54 MB
Data modeling is the single most overlooked feature in Power BI Desktop, yet it’s what sets Power BI apart from other tools on the market. This practical book serves as your fast-forward button for data modeling with Power BI, Analysis Services tabular, and SQL databases. It serves as a starting point for data modeling, as well as a handy refresher.

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