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Review of Machine Learning Applications for Data Analysis : = Based on Power BI.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Review of Machine Learning Applications for Data Analysis :/
其他題名:
Based on Power BI.
作者:
Hawkins, Kailee Ranise.
面頁冊數:
1 online resource (68 pages)
附註:
Source: Masters Abstracts International, Volume: 84-06.
Contained By:
Masters Abstracts International84-06.
標題:
Information science. -
電子資源:
click for full text (PQDT)
ISBN:
9798363512872
Review of Machine Learning Applications for Data Analysis : = Based on Power BI.
Hawkins, Kailee Ranise.
Review of Machine Learning Applications for Data Analysis :
Based on Power BI. - 1 online resource (68 pages)
Source: Masters Abstracts International, Volume: 84-06.
Thesis (M.S.)--Southern University and Agricultural and Mechanical College, 2022.
Includes bibliographical references
Machine learning applications are very useful especially when it comes to data analysis. These applications are used every day by millions of people from something as simple as using a cellphone. Most importantly it allows Data Analysis and Business Analysis to work together more efficiently. It has been used to create software such as Power BI that helps both Data Analysis and Business Analysis bridge a gap in communication. The visuals created within Power BI are so helpful for both Data Analysis and Business Analysis to analyze data. Data is an advantage for machine learning systems.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798363512872Subjects--Topical Terms:
561178
Information science.
Subjects--Index Terms:
Machine LearningIndex Terms--Genre/Form:
554714
Electronic books.
Review of Machine Learning Applications for Data Analysis : = Based on Power BI.
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Machine learning applications are very useful especially when it comes to data analysis. These applications are used every day by millions of people from something as simple as using a cellphone. Most importantly it allows Data Analysis and Business Analysis to work together more efficiently. It has been used to create software such as Power BI that helps both Data Analysis and Business Analysis bridge a gap in communication. The visuals created within Power BI are so helpful for both Data Analysis and Business Analysis to analyze data. Data is an advantage for machine learning systems.
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