Introduction
This repo contains all the papers, books, blogs that I wish to read
Target year 2021
Papers to read
- The Hardware Lottery - Sara Hooker
- AutoML - Efficient and Robust Automated Machine Learning
- Graph Neural Networks: Taxonomy, Advances and Trends
- KDD2014 - DeepWalk: online learning of social representations ➡️ #papernotes ⚡
- KDD2016 - node2vec: Scalable feature learning for networks - Leskovec ⚡ ➡️ #papernotes
- ICDAR 2019 Competition on Post-OCR Text Correction
Books to read:
- Practical Time Series Analysis: Prediction with Statistics and Machine Learning by Aileen Nielsen
- Responsible Machine Learning By Patrick Hall, Navdeep Gill and Benjamin Cox
- Software Engineering at Google by Titus Winters, Tom Manshreck, Hyrum Wright 🔥
Course to finish
- CS 329S: Machine Learning Systems Design - Winter 2021 - Chip Huyen 🚀
- CMU CS 11-747 Neural Network for NLP Spring 2021 🚀
- CS224W: Machine Learning with Graphs - Winter 2021
- MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 - Prof. Gilbert Strang ⚡ ⚡
- DS-GA 1008 · SPRING 2020 - Yann LeCun’s Deep Learning Course at NYU-CDS
Hands-on to try
Blogs to read:
- Reg2Vec: Learning Embeddings for High Cardinality Customer Registration Features
- From zero to research — An introduction to Meta-learning
- visenger/awesome-mlops 🚀
- OCR Typo detection with BERT embeddings ⚡