How to efficiently model uncertainty in ml and nlp


Assignment: Big Data

While this topic highlighted the uncertainty of Big Data, the author identified the following as areas for future research. Pick one of the following for your Research paper:

o Additional study must be performed on the interactions between each big data characteristic, as they do not exist separately but naturally interact in the real world.

o The scalability and efficacy of existing analytics techniques being applied to big data must be empirically examined.

o New techniques and algorithms must be developed in ML and NLP to handle the real-time needs for decisions made based on enormous amounts of data.

o More work is necessary on how to efficiently model uncertainty in ML and NLP, as well as how to represent uncertainty resulting from big data analytics.

o Since the CI algorithms are able to find an approximate solution within a reasonable time, they have been used to tackle ML problems and uncertainty challenges in data analytics and process in recent years.

Format your assignment according to the following formatting requirements:

o The answer should be typed, using Times New Roman font (size 12), double spaced, with one-inch margins on all sides.

o The response also includes a cover page containing the title of the assignment, the student's name, the course title, and the date. The cover page is not included in the required page length.

o Also include a reference page. The Citations and references must follow APA format. The reference page is not included in the required page length.

Solution Preview :

Prepared by a verified Expert
Database Management System: How to efficiently model uncertainty in ml and nlp
Reference No:- TGS03115625

Now Priced at $45 (50% Discount)

Recommended (93%)

Rated (4.5/5)