2005 ASME Power Conference Lessons Learned - Low Condenser Vacuum/High Dissolved Oxygen Levels at D. C. Cook Nuclear Power Plant Sunder Raj Presentation

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Komandur Sunder Raj, P.E.

Presentations & Public Speaking

2005 ASME Power Conference Lessons Learned - Low Condenser Vacuum/High Dissolved Oxygen Levels at D. C. Cook Nuclear Power Plant Sunder Raj Presentation

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Get a business understanding of ML by going through key concepts and concrete use cases that illustrate its possibilities for web-based companies. In this presentation I introduce new technology that makes ML more accessible, and I explain in simple terms the limitations to what can be achieved. Finally, I discuss pragmatic considerations of real-world applications and I give a sneak peak at the Machine Learning Canvas — a framework for describing a predictive system that uses ML to provide value to its end user. -- L'utilisation du Machine Learning s'est fortement développée ces dernières années, jusqu'à être présent aujourd'hui dans environ la moitié des applications que nous utilisons sur smartphone. Même s'ils n'ont pas connaissance du Machine Learning (ML), les utilisateurs d'applications mobile et web sont devenus demandeurs de fonctionnalités prédictives que le ML rend possibles. Par ailleurs, dans le cadre de l'entreprise, le ML représente un avantage compétitif important qui permet de valoriser ses data en les couplant à une intelligence machine. Auparavant réservée aux grosses entreprises, cette technologie se démocratise grâce aux nouveaux outils de ML-as-a-Service et aux APIs de prediction. Afin d'en tirer profit, nous verrons ensemble les clés de compréhension du fonctionnement du machine learning, qui sous-tendent ses possibilités et ses limites. Nous verrons également comment amorcer son utilisation dans votre propre projet, au travers du Machine Learning Canvas qui permet de décrire un système où le ML est au cœur de la création de valeur.

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