Talk Abstract: An important question in the field of machine learning is why an algorithm made a certain decision. Interpretability is a process understanding of the decision which has been made by the complex model. Nowadays many enterprises rely on machine learning models to make important decisions. We cannot trust any model based on accuracy. That's the reason I want you all to dive into ML
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Talk Abstract:
An important question in the field of machine learning is why an algorithm made a certain decision. Interpretability is a process understanding of the decision which has been made by the complex model. Nowadays many enterprises rely on machine learning models to make important decisions. We cannot trust any model based on accuracy. That's the reason I want you all to dive into ML Interprets.
Speaker Bio
Juhi Singh
Tech Speaker, Product marketing - Freshworks, Volunteer
@ WTM Chennai, I can code too.
Social Media Links
- Twitter: https://twitter.com/juhi_singh15
- LinkedIn:https://www.linkedin.com/in/sjuhi/
- GitHub:https://github.com/sjuhi
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