Formation - Text Analysis using Machine Learning
In the Oil & Gas industry, like in other domains, most of the engineering knowledge and experience is saved in unstructured documents such as PDF files, MS Office files or just scans of paper reports. Extracting information from this file required a tremendous effort from domain experts and data officers since deterministic data mining tools have limited capabilities
Today some new machine learning systems proposes some new ways to extract more information from unstructured documents. This course will review the more common used algorithms in the domain of text analysis and is a good introduction to the domain of machine learning
Formation - Text Analysis using Machine Learning
Pour qui ?
Ingénieurs et techniciens du secteur pétrolier (forage, complétion, production) et parapétrolier dont les activités sont en liaison avec l'abandon et bouchage des puits (P&A)
Aucun prérequis n'est nécessaire pour suivre cette formation
Objectifs
- Distinguer les différents types de bouchage des puits (temporaire, permanent)
- Reconnaitre les procédures de design et des opérations de bouchage des puits
- Identifier les éléments de barrières et leur validation
- Apprécier le rôle des personnels chargés des opération P&A
Les apprenants seront capables de mettre en œuvre les compétences suivantes :
Programme
Pédagogie
Evaluation des acquis
Plus d'informations
Compétences visées
- Carry out technical/economic studies
- Master methods
- Master techniques and tools
Formation - Text Analysis using Machine Learning
In the Oil & Gas industry, like in other domains, most of the engineering knowledge and experience is saved in unstructured documents such as PDF files, MS Office files or just scans of paper reports. Extracting information from this file required a tremendous effort from domain experts and data officers since deterministic data mining tools have limited capabilities Today some new machine learning systems proposes some new ways to extract more information from unstructured documents. This course will review the more common used algorithms in the domain of text analysis and is a good introduction to the domain of machine learningIn the Oil & Gas industry, like in other domains, most of the engineering knowledge and experience is saved in unstructured documents such as PDF files, MS Office files or just scans of paper reports. Extracting information from this file required a tremendous effort from domain experts and data officers since deterministic data mining tools have limited capabilities
Today some new machine learning systems proposes some new ways to extract more information from unstructured documents. This course will review the more common used algorithms in the domain of text analysis and is a good introduction to the domain of machine learning
| Langue: Anglais |
| Modalité: Distanciel |
IFP Training est référencé au DataDock. Rapprochez-vous de votre OPCO pour connaître les possibilités de financement de cette formation.
Pour vérifier l’accessibilité de cette formation à une personne en situation de handicap, contactez notre référent à l’adresse suivante : [email protected]