3 Learning Analytics as data-driven decision making 1.4 Learning Analytics as an application of analytics 1.5 Learning analytics as an application of data science 2 Learning analytics...
Data Science and Data Analytics of Big Data with Machine Learning Algorithms
Big Data Analytics Online Learning - Online learning is a subfield of machine learning that allows to scale supervised learning models to massive datasets. The basic idea is that we donât need to...
Big Data Analytics Tutorial - Big Data; as its name implies, the data which is bigger is known as big data. The data size is increasing day by day. An individual deals with data using mobile phones...
배울 내용 ; In this course we would explore various Big Data Analytics services available on Microsoft Azure cloud. ; You would learn HDInsight, Apache Spark, Jupyter ; You would also learn about Zappelin, Stream Analytics
Learn how to perform Big Data Analytics using Microsoft Power BI- Microsoft Business Intelligence
Build your knowledge of big data and in-demand analytics skills with leading universities. Start fresh with an introduction or build your existing skill set for your specific industry.
서명 / 저자 : Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges [electronic resource] / edited by Aboul Ella Hassanien, Ashraf Darwish. 저자명 : Hassanien, Aboul Ella. editor. edt http://id.loc.gov/vocabulary/relators/edt ; Darwish, Ashraf. editor. edt http://id.loc.gov/vocabulary/relators/edt, 단체명 : SpringerLink (Online service), 판사항 : 1st ed. 2021. 발행사항 : Cham : Springer International Publishing : Imprint: Springer, 2021. 총서명 : Studies in Big Data, 2197-6511 ; 77 ...
배울 내용 ; Foundation course before jumping on bandwagon of data science and big data ; Deploy a structured lifecycle approach to data science and big data analytics projects. ; Planning & Implementation of Big Data strategy in organization.
요구 사항 ; The software we are using is all Microsoft based. So, you'll need a PC with the Microsoft operating system. ; Students should have a basic understanding of GIS and databases. However, the most important thing is to be excited to work with big data analytics and GIS. ; We will download over 20 gigabytes of data and software, so students should have a high speed Internet connection. Once the data is downloaded, a high speed connection isn’t as important.