Linking pages
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- GitHub - jnv/lists: The definitive list of lists (of lists) curated on GitHub and elsewhere https://github.com/jnv/lists 24 comments
- 100+ Best GitHub Repositories For Machine Learning https://www.theinsaneapp.com/2021/09/best-github-repository-for-machine-learning.html 3 comments
- GitHub - visenger/awesome-mlops: A curated list of references for MLOps https://github.com/visenger/awesome-mlops 2 comments
- GitHub - tstanislawek/awesome-document-understanding: A curated list of resources for Document Understanding (DU) topic https://github.com/tstanislawek/awesome-document-understanding 1 comment
- Top Github repo trends in 2021. Learnings on tech trends, demographics… | by Rajko Radovanović | Medium https://rajko-rad.medium.com/top-github-repo-trends-in-2021-e4fa0c724e4 0 comments
- guitton.co | A lightweight alternative to Amundsen for your dbt project https://guitton.co/posts/dbt-search/ 0 comments
- GitHub - kelvins/awesome-mlops: A curated list of awesome MLOps tools https://github.com/kelvins/awesome-mlops 0 comments
- GitHub - febinsathar/goodreads: goodreads https://github.com/febinsathar/goodreads 0 comments
- GitHub - eugeneyan/ml-surveys: 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc. https://github.com/eugeneyan/ml-surveys 0 comments
- GitHub - Script-Kiddie-JKB/Data-Science-Roadmap-6-Months-2023: This roadmap outlines a plan for improving your skills in data science over the next six months. The goal is to become proficient in Python programming, understand statistical concepts and techniques, learn about databases, and gain a strong foundation in machine learning and deep learning. https://github.com/Script-Kiddie-JKB/Data-Science-Roadmap-6-Months-2023 0 comments
Linked pages
- On YouTube’s recommendation system https://blog.youtube/inside-youtube/on-youtubes-recommendation-system/ 325 comments
- Engineers Shouldnât Write ETL: A Guide to Building a High Functioning Data Science Department | Stitch Fix Technology â Multithreaded https://multithreaded.stitchfix.com/blog/2016/03/16/engineers-shouldnt-write-etl/ 290 comments
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- Building a data team at a mid-stage startup: a short story · Erik Bernhardsson https://erikbern.com/2021/07/07/the-data-team-a-short-story.html 159 comments
- How 20th Century Fox uses ML to predict a movie audience | Google Cloud Blog https://cloud.google.com/blog/products/ai-machine-learning/how-20th-century-fox-uses-ml-to-predict-a-movie-audience 137 comments
- Introducing Twitterâs first algorithmic bias bounty challenge https://blog.twitter.com/engineering/en_us/topics/insights/2021/algorithmic-bias-bounty-challenge 120 comments
- Understanding searches better than ever before https://www.blog.google/products/search/search-language-understanding-bert/ 109 comments
- https://dennybritz.com/posts/building-ai-trading-systems/ https://dennybritz.com/blog/ai-trading/ 107 comments
- Didact AI: The anatomy of an ML-powered stock picking engine · Principia Mundi https://principiamundi.com/posts/didact-anatomy/ 103 comments
- Better Language Models and Their Implications https://openai.com/blog/better-language-models/ 99 comments
- Deep learning to translate between programming languages https://ai.facebook.com/blog/deep-learning-to-translate-between-programming-languages 93 comments
- Image GPT https://openai.com/blog/image-gpt/ 84 comments
- How we improved computer vision metrics by more than 5% only by cleaning labelling errors - Deepomatic - Visual Automation Platform https://deepomatic.com/en/how-we-improved-computer-vision-metrics-by-more-than-5-percent-only-by-cleaning-labelling-errors/ 72 comments
- Beware the data science pin factory: The power of the full-stack data science generalist and the perils of division of labor through function | Stitch Fix Technology â Multithreaded https://multithreaded.stitchfix.com/blog/2019/03/11/FullStackDS-Generalists/ 69 comments
- Open-Sourcing riskquant, a library for quantifying risk | by Netflix Technology Blog | Netflix TechBlog https://netflixtechblog.com/open-sourcing-riskquant-a-library-for-quantifying-risk-6720cc1e4968 57 comments
- Testing Firefox more efficiently with machine learning - Mozilla Hacks - the Web developer blog https://hacks.mozilla.org/2020/07/testing-firefox-more-efficiently-with-machine-learning/ 55 comments
- Recognizing People in Photos Through Private On-Device Machine Learning - Apple Machine Learning Research https://machinelearning.apple.com/research/recognizing-people-photos 52 comments
- How we built the good first issues feature | The GitHub Blog https://github.blog/2020-01-22-how-we-built-good-first-issues/ 47 comments
- A highly efficient, real-time text to speech system deployed on CPUs https://ai.facebook.com/blog/a-highly-efficient-real-time-text-to-speech-system-deployed-on-cpus/ 47 comments
- [2006.03511] Unsupervised Translation of Programming Languages https://arxiv.org/abs/2006.03511 45 comments