Staying updated in Data science - My 5 Lessons

1. Reddit, tweets, LinkedIn follows news, analytics blogs, links, Lex Fridman interviews, Stanford / MIT / Cornell updated courses
2. Look at Kaggle kernels, understand feature variables, newer features build. Learn domain-specific findings
3. Read research papers and try to look for techniques in video/text/ audio projects which you can reapply
4. Look at Github examples and code them in your free time. This help to know coding practices/ best practices
5. A lot of industry-specific products we can find by digging deep on AI technology and product landscape. Top 100 AI companies, AI product blogs, etc..

Teach, blog in different mediums. This helps to learn, gather different perspectives.  If you have observed technology and know the underlying pattern/architecture you can better connect the product, purpose, and applications of the tool.

During ML interviews I did find most interviewing folks 6 to 7 years younger than me. I came from DB BI to the AI world. It's a good feel to continue code, coach, teach a younger set of folks.

Good Read (Link)

Reading Research papers

Happy Learning!!!