Resources
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Here is a list of data science resources, personal blogs and technical writings that I was finding myself more or less going back to from time to time. Eventually I’ve decided that a list of them was needed.
- Personal websites & blogs
- Papers
- Notes
- Interview preparation
- Learning resources
- The Full Stack Website
- Practical Deep Learning for Coders – fast.ai
- Deep Learning Fundamentals • Lightning AI
- Alexey Grigorev’s Machine Learning Bootcamp – GitHub
- Alexey Grigorev’s MLOps Bootcamp – GitHub
- Zero to Mastery TensorFlow for Deep Learning • Daniel Bourke
- Neural Networks and Deep Learning
- CS231n: Deep Learning for Computer Vision – Stanford Online
- CS224N: Natural Language Processing with Deep Learning – Stanford Online
- Podcasts
- Others