DataHour: How to Build a Multi Task Model using TensorFlow
DataHour: How to Build a Multi Task Model using TensorFlow
24 Mar 202313:03pm - 24 Mar 202314:03pm
DataHour: How to Build a Multi Task Model using TensorFlow
About the Event
Multi-Task Machine Learning models are a type of machine learning algorithm that can learn to perform multiple tasks simultaneously. These models are designed to handle complex problems that require multiple sub-tasks to be performed, and they can help improve the efficiency and accuracy of machine learning systems.
SHAP is a framework used for explaining the output of machine learning models. It can give us global feature importance as well as sample level explanations.
In this DataHour, Sateesh will explain how to build a Multi Task Model using TensorFlow and get sample explanations with SHAP using a structured dataset.
Prerequisites: Basic understanding of Machine Learning and TensorFlow and enthusiasm of learning Data Science.
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- 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
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