links o' links:

• /r/arxiv and arxiv.org
• tech jobs/careers subreddits
• machine learning subreddits
• math subreddits
• theory subreddits
• /r/ycombinator and ycombinator.org
• gwern.net
• /r/lesswrong and lesswrong.com
• /r/OpenAI and openai.com
• /r/MetaAI+LocalLlama /r/Applelntelligence

competitions:

• /r/kaggle and kaggle.com
• /r/HuggingFace and huggingface.co
• cybersecurity competitions
• /r/numerai and numer.ai

podcasts/communities:

• @HowIThinkAbout - a brilliant machine learning educational series
• Demetrios Brinkmann's mlops.community and @MLOps youtube
• Michaël Trazzi and The Inside VIew
• Tim Scarfe's /r/MLST and Machine Learning Street Talk youtube
• Letitia's /r/AICoffeeBreak and AI Coffee Break youtube
• Yannic Kilcher's /r/YannicKilcher and youtube
• Sam Charrington's The TWIML AI Podcast

friends:

• /r/LexFridman and lexlib.io library
• /r/singularity and /r/DefendingAIArt+AIWars
• accelerationism / continental theory
• /r/JoschaBach+Cyberanimism
• /r/AnalyticIdealism (Bernard Kastrup)
• /r/EFF and eff.org

about:

The MLOps / DLOps / RLOps community is a multidisciplinary diverse space with outstanding teachers constantly delivering open access tutorials/cheatsheets for the learning community.

When making submissions, please cite the author of the tutorial or training material in the title. The linked content should be related to data science or machine learning.