The webinar will cover the following items:
(1) How to transition to ML from any engineering field?
(2) ML resources to begin your journey:
(3) How to start doing ML projects?
(4) How to start doing ML research and publish your first paper?
(5) Introduction to the field of Scientific Machine Learning (SciML)
(6) Access to the ML community we have nurtured: 500+ motivated students.