Hands on workshop : Introduction to Machine Learning

I will be teaching the Machine Learning Workshop in Python. Machine Learning is a subset of AI or artificial intelligence. It’s one of the trending topics these days and its going to have a lot of applications in the future. In this workshop, you will learn the basics of machine learning and we will be coding in Jupiter Notebook which is an open-source software. Throughout this workshop, you will learn how to create a model and train it using algorithms to gain a better prediction accuracy for the data sets that we’ll be using. We’re going to explore real world datasets and datasets that I have also created to gain a better understanding for this topic. By the end of this workshop, you will have a good understanding of machine learning basics.

Who is this presentation for?
Software Engineers
 

Sneha Muppalla is currently studying a dual degree in Electrical Engineering and Computer Science (EECS) and Business under UC Berkeley’s MET Program. Her technical interests focus on computer vision and building generative vision systems that go beyond pattern recognition and towards physical and causal understanding. She is especially interested in the intersection of visual intelligence, generative models, and real-world perception, with experience in CS coursework, systems, and research exploration.