— Native support for inference
— Elegant formulas
— Visual diagnostics baked into the workflow
#DataScience #MachineLearning
— Native support for inference
— Elegant formulas
— Visual diagnostics baked into the workflow
#DataScience #MachineLearning
#quantum
#quantum
— Clean data
— Clear framing
— Honest evaluation
Simplicity scales better than complexity that no one trusts.
#DataScience #MachineLearning #AI #RStats
— Clean data
— Clear framing
— Honest evaluation
Simplicity scales better than complexity that no one trusts.
#DataScience #MachineLearning #AI #RStats
#AI #DataScience #MachineLearning #RStats
#AI #DataScience #MachineLearning #RStats
#AI #DataScience #MachineLearning #GenAI #LLM
#AI #DataScience #MachineLearning #GenAI #LLM
#AI #GenAI #LLM #DNA #genome
My reply: “For what?” AUC, precision, F1—none of them matter unless you know what decision you're informing. Always tie metrics to action.
#DataScience #MachineLearning #AI #RStats
My reply: “For what?” AUC, precision, F1—none of them matter unless you know what decision you're informing. Always tie metrics to action.
#DataScience #MachineLearning #AI #RStats
#AI #LightningAI #VectorSearch #LLMinference #VectorDB #AIInfrastructure #Pliops
#AI #LightningAI #VectorSearch #LLMinference #VectorDB #AIInfrastructure #Pliops
#AI #GenAI #LLM #RAG
#AI #GenAI #LLM #RAG
#AI #GenAI #RAG #LLM
#RStats #DataScience #MachineLearning #AI
#RStats #DataScience #MachineLearning #AI
@zilliz-universe.bsky.social #AI #RAG #vectordatabase #SC25 #GenAI
@zilliz-universe.bsky.social #AI #RAG #vectordatabase #SC25 #GenAI
#AI #DataCenters
#AI #DataCenters
— statistical rigor
— quick EDA
— publication-ready graphics
Its design reflects how statisticians think, not just how coders write.
#DataScience #MachineLearning #AI #RStats
— statistical rigor
— quick EDA
— publication-ready graphics
Its design reflects how statisticians think, not just how coders write.
#DataScience #MachineLearning #AI #RStats
— unclear objectives
— ambiguous metrics
— political friction
Data doesn’t speak for itself. It needs a translator.
#DataScience #MachineLearning #AI #RStats
— unclear objectives
— ambiguous metrics
— political friction
Data doesn’t speak for itself. It needs a translator.
#DataScience #MachineLearning #AI #RStats
#AI #Security #SASE
#AI #Security #SASE
It’s in the clarity of its reasoning, and the trustworthiness of its assumptions.
#DataScience #MachineLearning #AI #RStats
It’s in the clarity of its reasoning, and the trustworthiness of its assumptions.
#DataScience #MachineLearning #AI #RStats
#AI #RAG #graphdatabase
#AI #RAG #graphdatabase
— Versioning issues
— Poor stakeholder alignment
— Lack of monitoring
Data science ≠ Kaggle. It’s shipping, integrating, maintaining.
#DataScience #MachineLearning #AI #RStats
— Versioning issues
— Poor stakeholder alignment
— Lack of monitoring
Data science ≠ Kaggle. It’s shipping, integrating, maintaining.
#DataScience #MachineLearning #AI #RStats
#AI #GenAI #LLM #DataScience #MachineLearning
#AI #GenAI #LLM #DataScience #MachineLearning
#AI #OpenSource
#AI #OpenSource