The price is right! - Machine Learning thinking of costs

From an academic point of view, Machine Learning models generally try to minimize the errors they make in their predictions. As a theoretical approach it is very efficient, but in addition ML models used in the real world must be efficient: we want them to have the greatest possible benefit with the lowest associated cost (considering the many meanings of the term). In this regard we use different techniques: from the adjustment of thresholds to the use of algorithms with uncertainty ranges, through the use of custom error metrics that take into account the cost associated with a model. In this session we will talk about real cases learned: Machine Learning from the real world.

Pau Sempere

Pau Sempere

CTO & Head of Artificial Intelligence @ EyePerformance | MVP AI

Other sessions from: Learn with the AI Community around the world

Troubleshooting real-time business metrics with StarTree ThirdEye

Troubleshooting real-time business metrics with StarTree ThirdEye

StarTree ThirdEye is a source available anomaly detection platform that...

Madhumita Mantri Madhumita Mantri
Suvodeep Pyne Suvodeep Pyne
Anomaly Detection, Powered by Azure AI and Digital Twins

Anomaly Detection, Powered by Azure AI and Digital Twins

Detecting the Onset of System Failure using Anomaly Detection Techniques is...

Mihail Mateev Mihail Mateev
Create A Multi-Language Translator Using Blazor And Azure Cognitive Services

Create A Multi-Language Translator Using Blazor And Azure Cognitive Services

We will create a Multilanguage translator using Blazor and the Translator...

Ankit Sharma Ankit Sharma
Real-Time Machine Learning with Azure ML Endpoints

Real-Time Machine Learning with Azure ML Endpoints

Are you using the most appropriate machine learning approach for your use...

Vlad Iliescu Vlad Iliescu
The dawn of large neural networks and their transformative impact on AI

The dawn of large neural networks and their transformative impact on AI

The last two years have seen a dramatic growth of neural networks. Models...

Adam Grzywaczewski Adam Grzywaczewski
Spoken or written speech insights with AI and Azure Cognitive Services.

Spoken or written speech insights with AI and Azure Cognitive Services.

Join this session to learn how valuable data insights from text or audio ca...

Catalin Popa Catalin Popa