About the Webinar
Duration
60 mins
Day
June 19, 2019
Time
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?
Let's start with a Free Online Demo Session & Digital Marketing Guide!
