Geetika Bhatia, the DeepSense Algorithm & Software Specialist guides you through machine learning and deep learning models. 0:00 Intro 1:07 Algorithms 101 10:25 ML Models for Classification 14:17 ML Models for Regression 14:45 Deep Learning Algorithms 16:19 Machine Learning Vs Deep Learning 27:58 Q&A During this session, you will learn: ~Algorithm vs Models: What is the difference? ~Models: How to choose an algorithm to solve your problem ~Only one or many: How many different algorithms should you try when trying to build an AI solution ~Classification problem: Understand the pros and cons of various algorithm options ~Hardware: What hardware is required to training different models and why DeepSense, as an example, helps make machine learning easier. Who should watch: ~Students who want to learn more about AI, machine learning and deep learning ~Students in the middle of a project looking to validate their decisions ~Companies looking to complete now, or in the future, their own AI projects