Hands-on supervised machine learning with Python /
"This course will guide you through the implementation and nuances of many popular supervised machine learning algorithms while facilitating a deep understanding along the way. You'll embark on this journey with a quick course overview and see how supervised machine learning differs from u...
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| Format: | Video |
| Language: | English |
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[Place of publication not identified] :
Packt,
[2018]
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| Online Access: | Connect to this streaming video (Alexander Street Press) |
| Summary: | "This course will guide you through the implementation and nuances of many popular supervised machine learning algorithms while facilitating a deep understanding along the way. You'll embark on this journey with a quick course overview and see how supervised machine learning differs from unsupervised learning. Next, we'll explore parametric models such as linear and logistic regression, non-parametric methods such as decision trees, and various clustering techniques to facilitate decision-making and predictions. As we proceed, you'll work hands-on with recommender systems, which are widely used by online companies to increase user interaction and enrich shopping potential. Finally, you'll wrap up with a brief foray into neural networks and transfer learning. By the end of the video course, you'll be equipped with hands-on techniques to gain the practical know-how needed to quickly and powerfully apply these algorithms to new problems."--Resource description page |
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| Item Description: | Title from title screen (viewed April 16, 2019). Date of publication from resource description page. |
| Physical Description: | 1 online resource (1 streaming video file (3 hr., 6 min., 6 sec.)) |