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Online Orientation Session on

How Naive Bayes Algorithm Works?

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  • About the Webinar


    60 mins


    June 19, 2019


    3:00 pm

    Who is the Speaker?

    Akshay is a Data Scientist by profession, currently working as a Lead Data Scientist (General Manager, SME-1) at Reliance Industries, where he designs, trains and deploys machine learning models which power enterprise-scale platforms and products. He now applies his expertise to building the new age, enterprise-scale data science solutions across multiple domains.

    Akshay Sehgal

    Key Takeaways
    • A different perspective on machine learning
    • Bayes theorem and the ‘naive’ assumption
    • How does the Naive Bayes algorithm work in practice
    • Different classifiers for different types of data
    • Behind the scenes of NB, from the lens of linear algebra
    • Implementing NB classifiers from scratch

    Session Agenda

    Machine 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.

    Who Should Attend?


    Computer Science Graduates

    Aspiring Machine Learning Engineers


    Aspiring Data Analysts

    Aspiring Data Scientists

    Software Engineers