Chap 9. PR/keep stoa

Here are a few categories in this chapter:

• Conference takeaways

• Challenge / Competitions

• Lectures / Webinars

• Tech blogs

• Open sources wheels

Joshua Starmer : One stop for all the statistics ever required for data science Gaurav Sen: Not for Data Science in specific, but found his System Design videos to be amazing and System Design skills are always good to have if you are a developer in any domain Krish Naik: Easy to understand YouTube tutorials Abhishek Thakur: Some high level stuff on ML by this Kaggle grandmaster Fernando López Velasco: Nice short articles on different helpful topics spanning across different areas of ML Rahul Agarwal: Good to read blogs on general ML related stuff, also shares great interview tips Chip Huyen: Excellent content on Data Engineering, MLOps and Data Science in general