Scientific Machine Learning

Cohort 1

Since the last 6 years, Scientific ML (SciML) has transformed Machine Learning. From fluid mechanics to climate sciences, from mechanical engineering to biological sciences, from acoustics to economics: SciML have applications everywhere. The problem is: (1) Engineers still think that SciML is a scary, complex new field.(2) Engineers think that they need a Masters or a PhD in ML to even understand this technique.(3) Engineers read about SciML and then forget about it. Learn more about how SciML is your stepping stone to a career in ML.

Learn directly from Scientific Machine Learning

Scientific Machine Learning

Resources

How can you transition to ML from any field?