DataHour: Introduction to Interpretable Machine Learning
DataHour: Introduction to Interpretable Machine Learning
05 Jul 202214:07pm - 05 Jul 202215:07pm
DataHour: Introduction to Interpretable Machine Learning
About the Event
Interpretable machine learning is needed because machine learning by itself is incomplete as a solution. The complex problems we solve with machine learning aren't solvable through conventional software engineering. By explaining a model's decisions, we can cover gaps in our understanding of the problem, and its corresponding solution.
Black-box machine learning models are thought to be impenetrable. However, with inputs and outputs alone, a lot can be learned about the reasoning behind their predictions. In this DataHour, we will cover the importance of model interpretation and explain various methods and their classifications, including feature importance, feature summary, and local explanations using Python.
Prerequisites: Basic python and some fundamental idea of Machine Learning.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
Serg is a data scientist in agriculture with a lengthy background in entrepreneurship and web/app development, and the author of the bestselling book 'Interpretable Machine Learning with Python'. Passionate about machine learning interpretability, responsible AI, behavioral economics, and causal inference.You can follow him on Linkedin and Twitter.
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