For the most part Machine Learning is similar to traditional Software Development and most of the principles and practices that apply to Traditional Software Development also apply to Machine Learning. But there are also certain unique challenges that come with deploying ML models to Production.
In this presentation, we will look at the top Challenges you face deploying Machine Learning Models to Production and how to tackle those Challenges using MLOps.
* How is Machine Learning different than Traditional Software Development
* Top challenges deploying ML Models to Production
* What is MLOps and how to tackle ML specific challenges using that
* Anecdotes about deploying ML Models using industry principles and best practices