Takeaways

Automated profile picture moderation at BlaBlaCar using Deep Learning Profile picture moderation at BlaBlaCar Designing an automatic pipeline Give attention to the BlaBlaCar-specific classification task Key takeaways

A story of how we drastically reduced manual profile picture moderation at BlaBlaCar.Greater than to the BlaBlaCar carpooling platform in 2022. This represents roughly 53k pictures per day.These profile pictures help in...

How you can Tackle Class Imbalance Without Resampling Introduction How you can Take care of Class Imbalance Tackling Class Imbalance with Clustering Key Takeaways

Imbalanced classification beyond resampling, threshold tuning, or cost-sensitive modelsICLL’s curve is closer to the top-left side, which indicates it's the higher model.Rather a lot more experiments were carried out within the paper in reference...

How BlaBlaCar leverages machine learning to match passengers and drivers What’s BlaBlaCar ? Introducing Boost rides and their impact on the marketplace Machine learning to predict driver...

The story of how we smartly select search results to enhance user experience at BlaBlaCarBlaBlaCar provides a platform facilitating carpooling in 22 countries worldwide. It allows drivers to publish their trips and fill the...

Transform Time Series for Deep Learning Supervised Learning with Time Series Auto-Regression with Deep Learning Hands-On Key Takeaways

Forecasting with deep neural networksThe forecasts aren't that good. The time series is small and we didn’t optimize the model in any way. Deep learning methods are known to be data-hungry. So, in case...

Easy methods to Transform Time Series for Deep Learning Supervised Learning with Time Series Auto-Regression with Deep Learning Hands-On Key Takeaways

Forecasting with deep neural networksThe forecasts will not be that good. The time series is small and we didn’t optimize the model in any way. Deep learning methods are known to be data-hungry. So,...

Transform Time Series for Deep Learning Supervised Learning with Time Series Auto-Regression with Deep Learning Hands-On Key Takeaways

Forecasting with deep neural networksThe forecasts should not that good. The time series is small and we didn’t optimize the model in any way. Deep learning methods are known to be data-hungry. So, for...

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