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data from the trenches
the nitty gritty of data science by the experts @ dataiku
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Graph Neural Networks: Merging Deep Learning With Graphs (Part I)
Graph Neural Networks: Merging Deep Learning With Graphs (Part I)
When It Comes to Node Classification
Lina Faik
Apr 28
Can Deep Learning Change the Game for Time Series Forecasting? (Part II)
Can Deep Learning Change the Game for Time Series Forecasting? (Part II)
We introduce the MQ Forecaster & Transformer models and compare their performances against classic ML methods.
Lina Faik
Nov 18, 2021
Deep Learning for Time Series Forecasting: Is It Worth It? (Part I)
Deep Learning for Time Series Forecasting: Is It Worth It? (Part I)
Using RNNs & DeepAR Models to Find Out
Lina Faik
Sep 16, 2021
I Can’t Believe It’s Not Better — Active Learning Flavor
I Can’t Believe It’s Not Better — Active Learning Flavor
This is the story of a research project that didn’t quite make it. We introduce a new active learning strategy and put it to the test.
Alexandre Abraham
Jun 10, 2021
Causal Inference on Observational Data: It's All About the Assumptions
Causal Inference on Observational Data: It's All About the Assumptions
For robust causal estimation, one cannot blindly use causal model. We present tests to check plausibility of the main causality hypothesis.
Jean-Yves Gérardy
Jun 3, 2021
Enterprise Causal Inference: Beyond Churn Modeling
Enterprise Causal Inference: Beyond Churn Modeling
To best plan a personalised marketing campaign, we’ll see how Causal Inference can help tackle churn retention.
Jean-Yves Gérardy
Apr 28, 2021
The Potential for Using Deep Learning to Improve Local Weather Forecasts
The Potential for Using Deep Learning to Improve Local Weather Forecasts
Scheduling at ALMA relies on accurate weather forecasts, can we apply Deep Learning to fine tune the forecasts in the Atacama desert?
Aimee Coelho
Mar 18, 2021
Deploying ML Models for Edge Computing on Drones
Deploying ML Models for Edge Computing on Drones
Combining ML and drones, a data scientist dream. We’ll show how to deploy a SSD model on a drone with Uavia DroneOS and Dataiku DSS.
Augustin Ador
Mar 10, 2021
Why Is My Data Drifting?
Why Is My Data Drifting?
Your data has drifted, and you now need to determine the source of the drift. This can be achieved leveraging interpretability techniques.
Simona Maggio
Nov 24, 2020
Measuring Models’ Uncertainty with Conformal Prediction
Measuring Models’ Uncertainty with Conformal Prediction
Augmenting any model with an uncertainty estimation? It might sound too good to be true, but that’s the promise of conformal prediction.
Léo Dreyfus-Schmidt
Oct 1, 2020
Measuring Fairness in Machine Learning Models
Measuring Fairness in Machine Learning Models
We give an in-depth overview of the various definition of fairness for Machine Learning. Spoiler alert: we can’t have them all.
Alexandre Landeau
Sep 17, 2020
Making Neural Networks Smaller for Better Deployment
Making Neural Networks Smaller for Better Deployment
Deep learning models are known for their impressive size, but how do you deploy those on edge devices where size matters?
Vincent Houdebine
Jul 30, 2020
Towards Reliable ML Ops with Drift Detectors
Towards Reliable ML Ops with Drift Detectors
Detecting drift is critical in the monitoring of deployed models. So, how do we efficiently detect data drift ?
Simona Maggio
Jul 16, 2020
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