ISSN 2394-5125
 

Research Article 


A Survey on the Implementation and Optimization of In- Database Machine Learning Systems

Arko Bhattacharya.

Abstract
In-database machine learning has been very popular, almost being a cliche. In spite of being so popular, there exists a
lack of awareness and following about the latest innovations and trends of utilizing in-database machine learning to overcome the
drawbacks of a traditional data science workflow. This survey consolidates a few instances of work done in the latest and greatest
research avenues which have thoroughly exploited the possibilities that come forth while using an in-database ML workflow to solve
problems that are faced by its traditional counterpart. We will be discussing about the benefits of in-database ML and will also discuss
in detail about some of the optimized implementations of it which have success fully utilized itsbenefits.

Key words: In-database ML, DBMS, Data Science


 
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Pubmed Style

Arko Bhattacharya. A Survey on the Implementation and Optimization of In- Database Machine Learning Systems. JCR. 2021; 8(2): 1785-1800. doi:10.31838/jcr.08.02.181


Web Style

Arko Bhattacharya. A Survey on the Implementation and Optimization of In- Database Machine Learning Systems. http://www.jcreview.com/?mno=99570 [Access: July 20, 2021]. doi:10.31838/jcr.08.02.181


AMA (American Medical Association) Style

Arko Bhattacharya. A Survey on the Implementation and Optimization of In- Database Machine Learning Systems. JCR. 2021; 8(2): 1785-1800. doi:10.31838/jcr.08.02.181



Vancouver/ICMJE Style

Arko Bhattacharya. A Survey on the Implementation and Optimization of In- Database Machine Learning Systems. JCR. (2021), [cited July 20, 2021]; 8(2): 1785-1800. doi:10.31838/jcr.08.02.181



Harvard Style

Arko Bhattacharya (2021) A Survey on the Implementation and Optimization of In- Database Machine Learning Systems. JCR, 8 (2), 1785-1800. doi:10.31838/jcr.08.02.181



Turabian Style

Arko Bhattacharya. 2021. A Survey on the Implementation and Optimization of In- Database Machine Learning Systems. Journal of Critical Reviews, 8 (2), 1785-1800. doi:10.31838/jcr.08.02.181



Chicago Style

Arko Bhattacharya. "A Survey on the Implementation and Optimization of In- Database Machine Learning Systems." Journal of Critical Reviews 8 (2021), 1785-1800. doi:10.31838/jcr.08.02.181



MLA (The Modern Language Association) Style

Arko Bhattacharya. "A Survey on the Implementation and Optimization of In- Database Machine Learning Systems." Journal of Critical Reviews 8.2 (2021), 1785-1800. Print. doi:10.31838/jcr.08.02.181



APA (American Psychological Association) Style

Arko Bhattacharya (2021) A Survey on the Implementation and Optimization of In- Database Machine Learning Systems. Journal of Critical Reviews, 8 (2), 1785-1800. doi:10.31838/jcr.08.02.181