hurshd0/must-read-papers-for-ml
Curated list of must-read papers and articles for Machine Learning and Deep Learning practitioners.
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This repository compiles essential academic papers, reviews, and articles for Data Science and ML engineers. It organizes resources by topic including preprocessing, statistical modeling, general ML, deep learning architectures such as CNNs and RNNs/LSTMs, and recommender systems. The collection is presented as a ranked reading list to guide practitioners through foundational and advanced material.
Frequently asked
- What is hurshd0/must-read-papers-for-ml?
- Curated list of must-read papers and articles for Machine Learning and Deep Learning practitioners.
- Is must-read-papers-for-ml open source?
- Yes — hurshd0/must-read-papers-for-ml is open source, released under the MIT license.
- How popular is must-read-papers-for-ml?
- hurshd0/must-read-papers-for-ml has 1.4k stars on GitHub.
- Where can I find must-read-papers-for-ml?
- hurshd0/must-read-papers-for-ml is on GitHub at https://github.com/hurshd0/must-read-papers-for-ml.