How to transition to ML as a beginner? By MIT, Purdue alumni | Scientific ML | ML for all engineers

Here is the link to SciML bootcamp website: https://flyvidesh.online/ml-bootcamp This lecture covers the following aspects: (1) Dr. Raj's story and how he 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. Link to documents: (a) Resources needed to transition to ML: https://docs.google.com/document/d/1OgFUJvPLeHOeP4gIWAcKDo9stiXnJAZrxmvIsj8cEcA/edit?usp=sharing (b) Link to our Scientific ML Bootcamp: https://flyvidesh.online/ml-bootcamp/ (c) Link to the best and most reasonable deep learning course available currently: https://flyvidesh.online/courses/nnfs-neural-network-from-scratch/ We have made the above course with 100+ hours of effort and it's just available for 499 Rs. Learn and enjoy!