Hands-on Introduction to Interpreting Machine Learning Models

Here is a hands-on introduction to interpreting machine learning models. Interpretable machine learning is needed because machine learning by itself is incomplete as a solution. The complex problems we solve with machine learning can't be solved with traditional software development precisely because we don’t understand all of the problem space we’re trying to solve. By explaining a model’s decisions, we can cover gaps in our understanding of the problem, and increase trust in the products we build with AI.

In this session, we will cover the importance of model interpretation and explain various methods and their classifications, including feature importance, feature summary, and local explanations.

--

--

Unleash your data science potential for FREE! Dive into our tutorials, events & courses today!

--

📱 Social media links

--

Also, join our communities:

_

#machinelearningmodel #mlmodel #machinelearning

[zehansadiq]

getting the following error while loading the dataset. any clue pls
No such file or directory:

[hassantahirkhantatta]

the notebook is not accessible. how to access