Ensemble machine learning techniques /
"Ensemble is a powerful way to upgrade your model as it combines models and doesn't assume a single model is the most accurate. But what if we combine these models as a way to drop those limitations to produce a much more powerful classifier or regressor? This course will show you how to c...
| Other Authors: | |
|---|---|
| Format: | Video |
| Language: | English |
| Published: |
[Place of publication not identified] :
Packt,
[2018]
|
| Subjects: | |
| Online Access: | Connect to this streaming video (Alexander Street Press) |
| Summary: | "Ensemble is a powerful way to upgrade your model as it combines models and doesn't assume a single model is the most accurate. But what if we combine these models as a way to drop those limitations to produce a much more powerful classifier or regressor? This course will show you how to combine various models to achieve higher accuracy than base models can. This has been the case in various contests such as Netflix and Kaggle, where the winning solutions used ensemble methods. If you want more than a superficial look at machine learning models and wish to build reliable models, then this course is for you."--Resource description page |
|---|---|
| Item Description: | Title from title screen (viewed October 30, 2018). Date of publication from resource description page. |
| Physical Description: | 1 online resource (1 streaming video file (1 hr., 23 min., 6 sec.)) |