173. How Optimization Works
A short series on the fundamentals of optimization for machine learning
You can enroll below or, better yet, unlock the entire End-to-End Machine Learning Course Catalog for 9 USD per month.
Optimization is a fancy word for "finding the best way" and it is the foundation of machine learning. Understand how it works can help you train your models faster and more accurately, and it gives you the power to create new models to suit your needs.
To see how optimization works in a realistic machine learning problem, check out the Polynomial Regression Course.
I love solving puzzles and building things. Machine learning lets me do both. I got started by studying robotics and human rehabilitation at MIT (MS '99, PhD '02), moved on to machine vision and machine learning at Sandia National Laboratories, then to predictive modeling of agriculture DuPont Pioneer, and cloud data science at Microsoft. At Facebook I worked to get internet and electrical power to those in the world who don't have it, using deep learning and satellite imagery and to do a better job identifying topics reliably in unstructured text. Now at iRobot I work to help robots get better and better at doing their jobs. In my spare time I like to rock climb, write robot learning algorithms, and go on walks with my wife and our dog, Reign of Terror.