| Description |
1 online resource (1 streaming video file (5 hr., 32 min., 9 sec.)) |
| Note |
Title from title screen (Safari, viewed April 30, 2019). |
|
Release date from resource description page (Safari, viewed April 30, 2019). |
| Performer |
Presenter, Shovon Sengupta. |
| Summary |
"This course offers an easy gateway to learn about 7 key algorithms in the realm of Data Science and Machine Learning. You will learn how to pre-cluster your data to optimize and classify it for large datasets. You will then find out how to predict data based on existing trends in your datasets. This video addresses problems related to accurate and efficient data classification and prediction. Over the course of 7 days, you will be introduced to seven algorithms, along with exercises that will help you learn different aspects of machine learning. This course covers algorithms such as: k-Nearest Neighbors, Naive Bayes, Decision Trees, Random Forest, k-Means, Regression, and Time-Series."--Resource description page |
| Subject |
Machine learning.
|
|
Computer algorithms.
|
|
Algorithms.
|
|
Apprentissage automatique. |
|
Algorithmes. |
|
algorithms. |
|
Algorithms |
|
Computer algorithms |
|
Machine learning |
| Genre |
Electronic videos. |
|
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