Talks

Machine learning model deployment 101

I was given a presentation on the Machine learning model deployment using Flask and Heroku at Dphi community webinar.

Getting started with Machine Learning and TinyML

I was given a presentation on the Getting started with machine learning & how it works and Introduction to TinyML at IEEE UCOE Student Branch webinar.

Getting started with Machine Learning and TinyML

I was given a presentation on the Getting started with machine learning & how it works and Introduction to TinyML at Mozilla FireFox Club Vit webinar.

Getting started with Machine Learning

I was given a presentation on the Introduction to Artificial Intelligence and it's applications, Introduction to Machine Learning and how it works and Getting started with Machine Learning, Project end to end steps and different career paths at Developer student club (DSC VVP) webinar.

Breaking the black box of neural networks

I was given a presentation on the interpretable machine learning and how they work at MUST research group(may-2020) webinar.

Building simple Autoencoders with TensorFlow

I was given a presentation on autoencoders and how they work at tensorflow user group Hyderabad webinar.

Image generation and image colorization using Autoencoders

Given a talk and code demo on Image generation and image colorization using Autoencoders in a webinar, which is organised by TensorFlow user group coimbatore in collaboration with School of AI

Breaking the black-box

Given a talk and code demo on interpretable machine learning in a meetup which is organised by Hyderabad Python user group in collaboration with Delhi Python user group

Prerequisites and why math for machine learning

Presented as a talk at CHAI(coffee with AI) Hyderabad #1 hosted by @learn.machinelearning Instagram page community. I talked on what are the prerequisites and why mathematics is important for machine learning and how to get started