Today, I gave a talk at Women In ML Symposium about my journey in ML.
It was fun.
Few highlights:
It was fun.
Few highlights:
- Get started by sharpening your skills about handling data.
- If you are really curious on how ML works in the background, take Linear Algebra 18.06 @ MIT and Mathematics for Machine Learning by Imperial College of London.
- If you want to dive into practice, checkout Tensorflow tutorials on their website or get a Deep Dive into Kaggle.
- Community Support & Mentoring is important as they will always have your back and you can share what you learn. It will serve as a good checkpoint.
- Make a plan, but also accommodate during uncertainty ( covid , family etc )