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English | August 26, 2022 | ISBN: 1071855107 | 376 pages | MOBI | 25 Mb
When numbers become people, learners thrive

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English | February 9, 2024 | ISBN: 9403501189 | True PDF | 112 pages | 1.8 MB
Derived from the renowned multi-volume International Encyclopaedia of Laws, this practical guide to privacy and data protection law in China covers every aspect of the subject, including the protection of private life as a fundamental - constitutional - right, the application of international and/or regional conventions protecting the right to privacy, privacy rights in the context of electronic communications or at the workplace, and the protection of individuals regarding the processing of personal data relating to them.

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English | May 9, 2023 | ISBN: 1668447312 | 332 pages | MOBI | 9.33 Mb
The demand for skilled data scientists is rapidly increasing as more organizations recognize the value of data-driven decision- making. Data science, data management, and data mining are all critical components for various types of organizations, including large and small corporations, academic institutions, and government entities. For companies, these components serve to extract insights and value from their data, empowering them to make evidence-driven decisions and gain a competitive advantage by discovering patterns and trends and avoiding costly mistakes. Academic institutions utilize these tools to analyze large datasets and gain insights into various scientific fields of study, including genetic data, climate data, financial data, and in the social sciences they are used to analyze survey data, behavioral data, and public opinion data. Governments use data science to analyze data that can inform policy decisions, such as identifying areas with high crime rates, determining which regions need infrastructure development, and predicting disease outbreaks. However, individuals who are not data science experts, but are experts within their own fields, may need to apply their experience to the data they must manage, but still struggle to expand their knowledge of how to use data mining tools such as RapidMiner software. Principles and Theories of Data Mining With RapidMiner is a comprehensive guide for students and individuals interested in experimenting with data mining using RapidMiner software. This book takes a practical approach to learning through the RapidMiner tool, with exercises and case studies that demonstrate how to apply data mining techniques to real-world scenarios. Readers will learn essential concepts related to data mining, such as supervised learning, unsupervised learning, association rule mining, categorical data, continuous data, and data quality. Additionally, readers will learn how to apply data mining techniques to popular algorithms, including k-nearest neighbor (K-NN), decision tree, naïve bayes, artificial neural network (ANN), k-means clustering, and probabilistic methods. By the end of the book, readers will have the skills and confidence to use RapidMiner software effectively and efficiently, making it an ideal resource for anyone, whether a student or a professional, who needs to expand their knowledge of data mining with RapidMiner software.

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by JP PARKER
English | March 9, 2024 | ASIN: B0CXNJZ3H4 | 284 pages | PNG (.rar) | 26.2 Mb

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English | 2024 | ISBN: 9798223785200 | 726 pages | PDF | 10 Mb
MAXQDA for Qualitative Data Analysis - Text, Audio, and Video is an indispensable resource for researchers and analysts delving into the complexities of qualitative data analysis. This book guides users through the powerful MAXQDA software, enabling them to effectively work with various data types, including text, audio, and video. It covers essential aspects such as coding frames, focus groups, document analysis, and transcription, enhancing readers' proficiency in qualitative data analysis. Whether you're engaged in mixed methods research or dealing with diverse data sources, this resource equips you with the knowledge and tools needed to harness MAXQDA's capabilities for comprehensive qualitative analysis and visualization.

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Free Download Introduction to Data Science: Data Analysis and Prediction Algorithms with R (Chapman & Hall/CRC Data Science) by Rafael A. Irizarry
English | November 8, 2019 | ISBN: 0367357984 | True EPUB | 713 pages | 19.7 MB
Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation.

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English | 2024 | ISBN: 1032472065 | 253 Pages | PDF (True) | 29 MB
This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the benefits of these techniques in line with first-principles modelling approaches. By doing so, the book aims to stimulate deep insights into computational intelligence approaches in data-driven models and to promote their potential applications in the power and energy sectors. Its key features include:

Free Download Handbook of Dynamic Data Driven Applications Systems: Volume 1, Second Edition by Erik P. Blasch
English | EPUB | 2022 | 753 Pages | ISBN : 3030745678 | 142.3 MB
The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies.

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English | 2024 | ASIN: B0CXT6H7B8 | 267 Pages | EPUB (True) | 6 MB