Order Number |
636738393092 |
Type of Project |
ESSAY |
Writer Level |
PHD VERIFIED |
Format |
APA |
Academic Sources |
10 |
Page Count |
3-12 PAGES |
Data scientists describe machine learning using the terms “supervised learning” and “unsupervised learning.” Define and describe supervised and unsupervised learning. List and describe common applications that are used for each process.
For years, developers have made extensive use of programming languages such as Python and R to implement machine-learning and data-mining applications. Recently, powerful visual programming environments, such as RapidMiner and Orange, have emerged. Discuss the pros and cons of coded and noncoded (visual) machine-learning and data-mining applications.
Need 2 Pages [ 1 page each question]
Buy IT Data Mining Technical Assignment
Grading Rubric
RUBRIC | |||
Excellent Quality
95-100%
|
Introduction
45-41 points The context and relevance of the issue, as well as a clear description of the study aim, are presented. The history of searches is discussed. |
Literature Support
91-84 points The context and relevance of the issue, as well as a clear description of the study aim, are presented. The history of searches is discussed. |
Methodology
58-53 points With titles for each slide as well as bulleted sections to group relevant information as required, the content is well-organized. Excellent use of typeface, color, images, effects, and so on to improve readability and presenting content. The minimum length criterion of 10 slides/pages is reached. |
Average Score
50-85% |
40-38 points
More depth/information is required for the context and importance, otherwise the study detail will be unclear. There is no search history information supplied. |
83-76 points
There is a review of important theoretical literature, however there is limited integration of research into problem-related ideas. The review is just partly focused and arranged. There is research that both supports and opposes. A summary of the material given is provided. The conclusion may or may not include a biblical integration. |
52-49 points
The content is somewhat ordered, but there is no discernible organization. The use of typeface, color, graphics, effects, and so on may sometimes distract from the presenting substance. It is possible that the length criteria will not be reached. |
Poor Quality
0-45% |
37-1 points
The context and/or importance are lacking. There is no search history information supplied. |
75-1 points
There has been an examination of relevant theoretical literature, but still no research concerning problem-related concepts has been synthesized. The review is just somewhat focused and organized. The provided overview of content does not include any supporting or opposing research. The conclusion has no scriptural references. |
48-1 points
There is no logical or apparent organizational structure. There is no discernible logical sequence. The use of typeface, color, graphics, effects, and so on often detracts from the presenting substance. It is possible that the length criteria will not be reached. |
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