Solution-Web-based Machine Learning applications

Web-based Machine Learning applications

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Reference no: EM132776412

DATA4800 Artificial Intelligence and Machine Learning - Kaplan Business School

Assessment - Interpreting & evaluating Web based analytics platforms

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Assessment Description
There has been a recent advent of web-based analytics tools including applications in deep learning. Analytics professionals are able to run deep learning applications via the browser as the algorithms use hardware platforms accessed via the cloud to provide the required performance.

Assessment Instructions

The page lists 10 web-based Machine Learning applications.

1. Choose 2 applications and describe their functionality and why you chose them. Discuss your choice in class with your lecturer and other students. (300 Words)

2. Evaluate the effectiveness in terms of
a. Accuracy
b. Utility

c. Method used
d. ease of use, and
e. cognitive load.

(300 words)

3. Recommend improvements or suggest other applications.
(250 words)

4. Summary
(150 words)

Attachment:- Artificial Intelligence and Machine Learning.rar

Reference no: EM132776412

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Web-based Machine Learning applications : Interpreting and evaluating Web based analytics platforms - recent advent of web-based analytics tools including applications in deep learning.

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Web-based Machine Learning applications

Reference no: EM132776412

Reference no: EM132776412

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