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#machinelearningengineering — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #machinelearningengineering, aggregated by home.social.

  1. Building an ML-Powered Transaction Classifier with Retraining and A/B Testing
    Every month I download a CSV from my bank with all our household transactions. Each one needs a category: groceries, fuel, mortgage, subscriptions, insurance.
    hylkerozema.nl/2026/02/26/buil
    #DataScience #MachineLearningEngineering #classification #DataScience #Flask #MachineLearning #MLflow #MLOps #mongodb #NAS #Optuna #Python

  2. Building an ML-Powered Transaction Classifier with Retraining and A/B Testing
    Every month I download a CSV from my bank with all our household transactions. Each one needs a category: groceries, fuel, mortgage, subscriptions, insurance.
    hylkerozema.nl/2026/02/26/buil
    #DataScience #MachineLearningEngineering #classification #DataScience #Flask #MachineLearning #MLflow #MLOps #mongodb #NAS #Optuna #Python

  3. Building an ML-Powered Transaction Classifier with Retraining and A/B Testing
    Every month I download a CSV from my bank with all our household transactions. Each one needs a category: groceries, fuel, mortgage, subscriptions, insurance.
    hylkerozema.nl/2026/02/26/buil
    #DataScience #MachineLearningEngineering #classification #DataScience #Flask #MachineLearning #MLflow #MLOps #mongodb #NAS #Optuna #Python

  4. Building an ML-Powered Transaction Classifier with Retraining and A/B Testing
    Every month I download a CSV from my bank with all our household transactions. Each one needs a category: groceries, fuel, mortgage, subscriptions, insurance.
    hylkerozema.nl/2026/02/26/buil
    #DataScience #MachineLearningEngineering #classification #DataScience #Flask #MachineLearning #MLflow #MLOps #mongodb #NAS #Optuna #Python

  5. Building an ML-Powered Transaction Classifier with Retraining and A/B Testing
    Every month I download a CSV from my bank with all our household transactions. Each one needs a category: groceries, fuel, mortgage, subscriptions, insurance.
    hylkerozema.nl/2026/02/26/buil
    #DataScience #MachineLearningEngineering #classification #DataScience #Flask #MachineLearning #MLflow #MLOps #mongodb #NAS #Optuna #Python

  6. Five Architectures for Time Series Forecasting with Large Language Models
    Large Language Models are increasingly being applied to time series forecasting. Not as chatbots, but as prediction engines that leverage the pattern recognition capabilitie
    hylkerozema.nl/2026/02/25/five
    #DataScience #MachineLearningEngineering #DataScience #Forecasting #FoundationModels #LLM #MachineLearning #TimeSeries #Transformer

  7. Five Architectures for Time Series Forecasting with Large Language Models
    Large Language Models are increasingly being applied to time series forecasting. Not as chatbots, but as prediction engines that leverage the pattern recognition capabilitie
    hylkerozema.nl/2026/02/25/five
    #DataScience #MachineLearningEngineering #DataScience #Forecasting #FoundationModels #LLM #MachineLearning #TimeSeries #Transformer

  8. Five Architectures for Time Series Forecasting with Large Language Models
    Large Language Models are increasingly being applied to time series forecasting. Not as chatbots, but as prediction engines that leverage the pattern recognition capabilitie
    hylkerozema.nl/2026/02/25/five
    #DataScience #MachineLearningEngineering #DataScience #Forecasting #FoundationModels #LLM #MachineLearning #TimeSeries #Transformer

  9. Five Architectures for Time Series Forecasting with Large Language Models
    Large Language Models are increasingly being applied to time series forecasting. Not as chatbots, but as prediction engines that leverage the pattern recognition capabilitie
    hylkerozema.nl/2026/02/25/five
    #DataScience #MachineLearningEngineering #DataScience #Forecasting #FoundationModels #LLM #MachineLearning #TimeSeries #Transformer

  10. Five Architectures for Time Series Forecasting with Large Language Models
    Large Language Models are increasingly being applied to time series forecasting. Not as chatbots, but as prediction engines that leverage the pattern recognition capabilitie
    hylkerozema.nl/2026/02/25/five
    #DataScience #MachineLearningEngineering #DataScience #Forecasting #FoundationModels #LLM #MachineLearning #TimeSeries #Transformer