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📝 Blogs & Good Reads

Welcome to the curated collection of blogs, research papers, articles, and learning resources for AI & ML!


🎯 Must-Read Collections

📄 Research Papers & Collections

Machine Learning & Deep Learning Papers
Deep Learning Specific
Natural Language Processing
Computer Vision

📰 Blogs & Articles

🌟 Top ML/AI Blogs

Researchers & Practitioners
Company Blogs
Learning Platforms

📚 Online Courses & Tutorials

Free Courses
Interactive Learning

🛠️ Tools & Frameworks

ML/DL Frameworks
MLOps & Deployment

💬 Community & Forums

Discussion Platforms
Social Media

🎓 Academic Resources

Conferences
  • NeurIPS - Neural Information Processing Systems
  • ICML - International Conference on Machine Learning
  • ICLR - International Conference on Learning Representations
  • CVPR - Computer Vision and Pattern Recognition
  • ACL - Association for Computational Linguistics
Journals & Publications

📺 YouTube Channels

Educational Channels

🎙️ Podcasts

ML/AI Podcasts

📖 Books & Reading Lists

Free Online Books
Reading Lists

💡 Tips for Learning

How to Stay Updated

  1. Follow key researchers on Twitter/X and read their blogs
  2. Subscribe to newsletters: Import AI, The Batch (DeepLearning.AI)
  3. Check arXiv daily for new papers in your area of interest
  4. Participate in Kaggle competitions for hands-on experience
  5. Join ML communities on Discord, Reddit, or LinkedIn
  6. Read code: Study implementations on GitHub
  7. Build projects: Apply what you learn to real problems

Remember

The field moves fast! Bookmark resources, take notes, and revisit fundamentals regularly.


This page is continuously updated. Suggest additions by opening an issue on GitHub!

Last Updated: October 2025