Free Download Graph Algorithms for Data Science: With Examples in Neo4j
English | 2024 | ISBN: 1617299464 | 467 Pages | EPUB | 23 MB
Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment.

Free Download Fuzzy Systems and Data Mining VIII: Proceedings of FSDM 2022
English | 2022 | ISBN: 1643683462 | 440 Pages | PDF (True) | 22 MB
This volume brings together 47 papers from FSDM 2022, the Eighth International Conference on Fuzzy Systems and Data Mining, held online in November 2022. Papers cover topics related to fuzzy theory, algorithms and systems, fuzzy applications, data mining, and the interdisciplinary field of fuzzy logic and data mining, including applications to satellite remote sensing, rural sewage treatment, the classification of heart sounds, employee ranking systems, manufacturing companies, mobile marketing in restaurants, COVID-19 prediction, and other areas. Contributors work in math, information science and technology, and other areas around the world. Annotation ©2022 Ringgold, Inc., Portland, OR (protoview.com)

Free Download Functional Data Analysis with R
English | 2024 | ISBN: 1032244712 | 338 Pages | PDF (True) | 42 MB
Emerging technologies generate data sets of increased size and complexity that require new or updated statistical inferential methods and scalable, reproducible software. These data sets often involve measurements of a continuous underlying process, and benefit from a functional data perspective. Functional Data Analysis with R presents many ideas for handling functional data including dimension reduction techniques, smoothing, functional regression, structured decompositions of curves, and clustering. The idea is for the reader to be able to immediately reproduce the results in the book, implement these methods, and potentially design new methods and software that may be inspired by these approaches.

Free Download Excel: Mastering Data Analysis, Visualization, and Automation for Success with Microsoft 365
English | 2023 | ASIN : B0CK66LTDN | 131 Pages | PDF EPUB | 2 MB
In "Excel: Mastering Data Analysis, Visualization, and Automation for Success with Microsoft 365," embark on a transformative journey that will forever change the way you approach data. Whether you're an aspiring data analyst, a seasoned professional, or a business leader seeking a competitive edge, this book is your key to unleashing the true power of Excel.

Free Download Driving Data Projects: A comprehensive guide
English | 2024 | ISBN: 1780176236 | 507 Pages | EPUB | 107 MB
Digital transformation and data projects are not new and yet, for many, they are a challenge. Driving Data Projects is a compelling guide that empowers data teams and professionals to navigate the complexities of data projects, fostering a more data-informed culture within their organizations. With practical insights and step-by-step methodologies, this guide provides a clear path how to drive data projects effectively in any organization, regardless of its sector or maturity level whilst also demonstrating how to overcome the overwhelming feelings of where to start and how to not lose momentum. This book offers the keys to identifying opportunities for driving data projects and how to overcome challenges to drive successful data initiatives. Driving Data Projects is highly practical and provides reflections, worksheets, checklists, activities, and tools making it accessible to students new to driving data projects and culture change. This book is also a must-have guide for data teams and professionals committed to unleashing the transformative power of data in their organizations.

Free Download Deskriptives Data-Mining
Deutsch | 2023 | ISBN: 3031212738 | 152 Seiten | PDF (True) | 9 MB
Dieses Buch bietet einen Überblick über Data-Mining-Methoden, die durch Software veranschaulicht werden. Beim Wissensmanagement geht es um die Anwendung von menschlichem Wissen (Erkenntnistheorie) mit den technologischen Fortschritten unserer heutigen Gesellschaft (Computersysteme) und Big Data, sowohl bei der Datenerfassung als auch bei der Datenanalyse. Es gibt drei Arten von Analyseinstrumenten. Die deskriptive Analyse konzentriert sich auf Berichte über das, was passiert ist. Bei der prädiktiven Analyse werden statistische und/oder künstliche Intelligenz eingesetzt, um Vorhersagen treffen zu können. Dazu gehört auch die Modellierung von Klassifizierungen. Die diagnostische Analytik kann die Analyse von Sensoreingaben anwenden, um Kontrollsysteme automatisch zu steuern. Die präskriptive Analytik wendet quantitative Modelle an, um Systeme zu optimieren oder zumindest verbesserte Systeme zu identifizieren. Data Mining umfasst deskriptive und prädiktive Modellierung. Operations Research umfasst alle drei Bereiche. Dieses Buch konzentriert sich auf die deskriptive Analytik.

Free Download Data-Centric Machine Learning with Python:
The ultimate guide to engineering and deploying high-quality models based on good data
English | 2024 | ISBN: 1804618128 | 466 Pages | EPUB (True) | 13 MB

Free Download Data Warehouse and Data Mining
by Kumar, Jugnesh;
English | 2024 | ISBN: 9355517343 | 214 pages | True EPUB | 7.79 MB

Free Download Data Structures and Algorithms with the C++ STL: A guide for modern C++ practitioners
English | 2024 | ISBN: 1835468551 | 458 Pages | EPUB (True) | 5 MB
While the Standard Template Library (STL) offers a rich set of tools for data structures and algorithms, navigating its intricacies can be daunting for intermediate C++ developers without expert guidance. This book offers a thorough exploration of the STL's components, covering fundamental data structures, advanced algorithms, and concurrency features.

Free Download Data Stewardship in Action: A roadmap to data value realization and measurable business outcomes
English | 2024 | ISBN: 1837636591 | 379 Pages | EPUB (True) | 11 MB
In the competitive data-centric world, mastering data stewardship is not just a requirement-it's the key to organizational success. Unlock strategic excellence with Data Stewardship in Action, your guide to exploring the intricacies of data stewardship and its implementation for maximum efficiency.