How Naive Bayes Algorithm Works?
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Duration : 60 minsMachine learning at its core has to do with defining a problem statement probabilistically and using optimization methods to train a model. That’s why the most tried and test probabilistic model, Naive Bayes is something that every data scientist must know and understand. The core takeaways from the session will be –
Key Takeaways:
1. A different perspective on machine learning
2. Bayes theorem and the ‘naive’ assumption
3. How does the Naive Bayes algorithm work in practice
4. Different classifiers for different types of data
5. Behind the scenes of NB, from the lens of linear algebra
6. Implementing NB classifiers from scratch
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