This formation is proposed by the brand Alliance4Training
Training - 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
Training - Text Analysis using Machine Learning
For whom ?
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
Objectives
- 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 :
Program
Pedagogy
Assessment of achievements
More information
Expected skills
- Carry out technical/economic studies
- Master methods
- Master techniques and tools
Training - 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
| Language: English |
| Modality: Distance only |
To French entities: IFP Training is referenced to DataDock ; you may contact your OPCO about potential funding.
Please contact our disabled persons referent to check the accessibility of this training program: [email protected]