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Learner Reviews & Feedback for Optimization of Topic Models using Grid Search Method by Coursera Project Network

3.6
stars
11 ratings
3 reviews

About the Course

In this 2-hour long project-based course, you will learn how to optimize a topic model to achieve best fit using Grid Search method. Topic modelling is an efficient unsupervised machine learning tool that aids in analyzing the latent themes from text datasets. But it is also necessary to learn to optimize the models to obtain the best fit model in order to achieve better interpretable themes to gain meaningful insights. In this project you will learn about the statistical parameters to gauge the model quality and create interactive visualization of the themes for a more intuitive evaluation of topic models. The focus of this project is primarily from an application point of view instead of underlying statistical mechanisms. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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1 - 3 of 3 Reviews for Optimization of Topic Models using Grid Search Method

By PODUGU S C

Sep 25, 2020

Excellent

By Nour E Q

Nov 16, 2020

The sound was missing in the last part, the course should be beginner level not advanced

By Kishore V

Sep 18, 2020

Trainer did not provided detailed undersanding of hyper parameters. Not sure depth of the subject by the trainer. Considering poor quality of this video I felt this is very costly.