RSTutorials: A Curated List of Must-read Papers on Recommender System.

Best Practices on Recommendation Systems

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neu…

An Open-source Framework for Autonomous Language Agents

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

Cheatsheets for AI and Machine Learning

Papers on recommendation system / search ranking.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

A playbook for systematically maximizing the performance of deep learning models.

My Solutions to 120 commonly asked data science interview questions.

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks