Spoke about Tensorflow
Gave a talk
machine learning
Today, I gave a talk at Women In ML Symposium about my journey in ML. 

It was fun. 

Few highlights: 
  1. Get started by sharpening your skills about handling data. 
  2. 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.
  3. If you want to dive into practice, checkout Tensorflow tutorials on their website or get a Deep Dive into Kaggle. 
  4. 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. 
  5. Make a plan, but also accommodate during uncertainty ( covid , family etc )