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Data Science

Title
Explainability: how do we apply it in BBVA AI Factory?
03/10/2023
Bridging the gap: Demystifying black-box algorithms with Mercury-explainability
21/09/2023
The Riddle of the Lancaster House: a hands-on exercise with Mercury-Reels
07/09/2023
Designing strategies to cope with classification problems: a Quick Study
07/07/2023
Let the trees do the work: Hands-on optimal document search with Mercury-Settrie
19/06/2023
Mercury-Robust: ensuring the reliability of our ML models
24/05/2023
Mercury-Monitoring: analytical components for monitoring ML models
28/04/2023
Money talks: How AI models help us classify our expenses and income
01/08/2022
How to tag data faster using Active Learning
15/03/2022
Balancing the weight of variables in a decision tree
10/11/2021
Teaching machines to assist BBVA financial advisors
30/06/2021
Who will validate my model? How to apply peer review to Data Science projects
25/03/2021
Applying Transfer Learning to Natural Language models
27/11/2020
Detecting balance anomalies with uncertainty models
26/11/2019
Text categorization and tag suggestion in a single model
08/07/2019
Agent-based default propagation: adding politics to default propagation in the economy
17/01/2019
A few Recommendations for a Data Scientist who wants to get started in Recommender Systems
06/11/2018
Financial Text Classification: Methods for Word Embedding
01/10/2018
Self-Service Performance Tuning for Hive
13/09/2018
Improving Predictions in Deep Learning by Modelling Uncertainty
26/04/2018
No Problem Too Big; No Solution Too (Computationally) Small
17/04/2018
Adding fairness to dynamic pricing with Reinforcement Learning
13/03/2018
How Kitties Helped BBVA to Detect Credit Card Fraud
27/02/2018
Client2vec, finding a better way to understand client’s preferences
17/10/2017
Personalizing Banking Services with Advanced Data Analytics
10/10/2017
It is Not About Deep Learning, But Learning How to Represent
19/09/2017
Improving Customer Experience with Forecasting Models
28/12/2016
Pricing Strategy Optimization Considering Customer Sensitivity
08/12/2016
There is no Such Thing as a Certain Prediction