How can you transition to ML from any field?

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.