GitHub – andresvourakis/data-scientist-handbook: This is a repo with links to everything you'd ever want to learn about data science https://
bit.ly/3N6nZvo
#AI #MachineLearning #DeepLearning #LLMs #DataScience
@miketamir
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Comprehensive Data Scientist Handbook: Essential Learning Resources
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Visual Guide to Copulas in Machine Learning
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while my_mcmc: gently(samples) – An intuitive, visual guide to copulas https://
bit.ly/3Y7zzwL
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Fine-tuning Best Practices: Training Data for LLMs
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Fine-tuning Best Practices Series Introduction and Chapter 1: Training Data – OpenPipe https://
bit.ly/4dpABsk
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JP Morgan Chase Python Training for AI and Machine Learning
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GitHub – jpmorganchase/python-training: Python training for business analysts and traders https://
bit.ly/4dsAAnp
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Liquid AI Unveils Generative Language Models Outperforming Llama
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Liquid Foundation Models: Our First Series of Generative AI Models https://
bit.ly/4gPkvLy
#AI #MachineLearning #DeepLearning #LLMs #DataScience Liquid AI Unveils New Architecture for Language Models, outperforming Llama 3.2 in similar size classes. -
Anthropic Reduces RAG Error Rate by 67% with Contextual Retrieval
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Introducing Contextual Retrieval https://
bit.ly/4eoQBvP
Anthropic reduces the error rate of RAGs by 67% using a simple method called "Contextual Retrieval". #AI #MachineLearning #DeepLearning #LLMs #DataScience -
How to Interview and Hire ML/AI Engineers
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How to Interview and Hire ML/AI Engineers https://
bit.ly/4dtdNIb
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Mastering AI Department Reorganizations: Practical Lessons
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Mastering AI Department Reorganizations: Lessons from the Trenches https://
bit.ly/3Wh82YD
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Why PhDs Fail Onsite Interviews: Identifying Top AI Talent
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Why PhDs whiff the onsite, and how to find a diamond in the rough https://
bit.ly/3zumrYv
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Multilingual Data Optimization for Language Models
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Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual Progress https://
bit.ly/4dAy6Dn #AI #MachineLearning #DeepLearning #LLMs #DataScience