Raj Abhijit Dandekar

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4.4/5
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Machine Learning for all engineers
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The webinar will cover the following aspects:


(1) My story and how I transitioned to ML.


(2) The problems with current ML courses for engineers.


(3) How you can transition to ML from any engineering field.


(4) Introduction to the field of Scientific Machine Learning (SciML)


(5) How to start doing ML projects in your domain and the importance of domain knowledge.


(6) Converting projects into research: How to do independent research in ML and publish your first paper?


(7) Scientific ML bootcamp and it’s details: 

  • Is it right for you? 
  • What all will you learn from the bootcamp?
  • How the bootcamp can help you completely learn SciML and publish papers.


If you are looking for a transition to ML, and are currently scared or confused: this webinar will help point you in the right direction.


You will learn a pathway to integrate domain specific knowledge with ML, and do impactful projects and research.

Don’t take it from me

Hear what others have to say
As a Mechanical Engineer looking to make the transition to ML , the webinar was very insightful. It gave me the much needed confidence to take actions in the direction of learning ML even though I have no concrete experience in the field of Computer Science. The personal touch to the webinar where you provided information about your personal struggle while switching careers was helpful and reassuring. Appreciate it. Keep up the good work and all the best!
Chinmay Kulkarni
Apr 2024
Loved the workshop! Incredible explanation to a completely new field to me, much thanks!
Pranav Rajesh Krishnan
Mar 2024
Lovely seminar on Julia and solving tough science problems using Neural Networks. Learned a lot.
Shrirang Moghe
Mar 2024
It was a good session. It introduced me to scientific Machine learning and the art of writing papers . Had a good time!
Hrishikesh Tiwari
Mar 2024
FREE