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E-BooksA Simple Guide to Technology and Analytics





A Simple Guide to Technology and Analytics
English | 2021 | ISBN: 0367608618 | 324 pages | True PDF | 18.05 MB
Everyday technology is constantly changing, and it's hard to keep up with it at times. What is all this talk about automation, STEM, analytics and super-computers, and how will it really affect my daily life at work and in the home?
This book is a simple guide to everyday technology and analytics written in plain language. It starts with explaining how computer networks are increasing in speed so fast that we can do more in less time than ever before. It explains the analytical jargon in plain English and why robotics in the home will be aided by the new technology of the quantum computer.



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E-BooksInductive Fuzzy Classification in Marketing Analytics





Inductive Fuzzy Classification in Marketing Analytics
Inductive Fuzzy Classification in Marketing Analytics by Michael Kaufmann
English | PDF | 2014 | 125 Pages | ISBN : 3319058606 | 3.3 MB
To enhance marketing analytics, approximate and inductive reasoning can be applied to handle uncertainty in individual marketing models. This book demonstrates the use of fuzzy logic for classification and segmentation in marketing campaigns. Based on practical experience as a data analyst and on theoretical studies as a researcher, the author explains fuzzy classification, inductive logic and the concept of likelihood and introduces a blend of Bayesian and Fuzzy Set approaches, allowing reasonings on fuzzy sets that are derived by inductive logic.



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Video TrainingUdemy - SQL Masterclass SQL for Data Analytics





Udemy - SQL Masterclass SQL for Data Analytics
Duration: 8h2m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 2.99 GB | Last Update: 7/2021
Genre: eLearning | Language: English
SQL course covering basic to advanced SQL topics for SQL Database ( PostgreSQL ). Elucidates SQL Database for beginners



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E-BooksEngineering Analytics Advances in Research and Applications





Engineering Analytics Advances in Research and Applications
English | 2021 | ISBN: 0367685345 | 283 pages | True PDF | 32.68 MB
Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers.
Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced. Industrial case studies and example problem demonstrations are used throughout the book to reinforce the concepts and applications. The book goes on to cover visual analytics and its relationships, simulation from the respective dimensions and Machine Learning and Artificial Intelligence from different paradigms viewpoints.



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Video TrainingUdemy - Google Analytics, GA4, GTM. How to improve your marketing





Udemy - Google Analytics, GA4, GTM. How to improve your marketing
Created by Anton Voroniuk | Last updated 7/2021
Duration: 2h3m | 5 sections | 23 lectures | Video: 1280x720, 44 KHz | 1.9 GB
Genre: eLearning | Language: English + Sub



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E-BooksSegmentation Analytics with SAS Viya - An Approach to Clustering and Visualization




Segmentation Analytics with SAS Viya - An Approach to Clustering and Visualization


Segmentation Analytics with SAS Viya - An Approach to Clustering and Visualization
epub | 20.85 MB | English | Isbn:‎ 978-1951684051 | Author: Randall S. Collica | Year: 2021





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E-BooksPublic Policy Analytics Code and Context for Data Science in Government





Public Policy Analytics Code and Context for Data Science in Government
English | 2021 | ISBN: 0367507617 | 229 pages | True PDF | 53.89 MB
Public Policy Analytics: Code & Context for Data Science in Governmentteaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand 'spatial process' and develop spatial analytics; how to develop 'useful' predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and 'Planning' are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government.

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E-BooksSegmentation Analytics with SAS Viya An Approach to Clustering and Visualization





Segmentation Analytics with SAS Viya An Approach to Clustering and Visualization
Segmentation Analytics with SAS Viya: An Approach to Clustering and Visualization by Randall S. Collica
English | July 14th, 2021 | ISBN: 1951684052 | 136 pages | True EPUB | 20.85 MB
Better understand your customers using segmentation analytics in SAS Viya!



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E-BooksCloud Scale Analytics with Azure Data Services Build modern data warehouses on Microsoft Azure





Cloud Scale Analytics with Azure Data Services Build modern data warehouses on Microsoft Azure
English | 2021 | ISBN: 1800562934 | 520 pages | True (PDF EPUB MOBI) | 127.97 MB
A practical guide to implementing a scalable and fast state-of-the-art analytical data estate
Key Features



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E-BooksUtilizing Learning Analytics to Support Study Success





Utilizing Learning Analytics to Support Study Success
Utilizing Learning Analytics to Support Study Success by Dirk Ifenthaler
English | PDF | 2019 | 328 Pages | ISBN : 3319647911 | 6.6 MB
Students often enter higher education academically unprepared and with unrealistic perceptions and expectations of university life, which are critical factors that influence students' decisions to leave their institutions prior to degree completion. Advances in educational technology and the current availability of vast amounts of educational data make it possible to represent how students interact with higher education resources, as well as provide insights into students' learning behavior and processes.



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