Virtual Classroom

Machine Learning Concepts - Remote training

MLBASIC-EN-D

Who should attend?

  • Machine learning is a subfield of Artificial Intelligence that acts as a bridge between Data Science and Artificial Intelligence. Its objective is to understand the structure of data and to build data-driven models for further automate decision-making processes, in most technical domains including the O&G industry.
Public :
  • The course is intended for O&G professionals interested in machine learning and its applications to O&G.

Level :Awareness

Prerequisite :
  • No pre-requisistes are necessary to follow this course.

Course Content

  • INTRODUCTION TO MACHINE LEARNING

  • MACHINE LEARNING METHODS

      • Supervised machine learning.
      • Unsupervised machine learning.
  • COMMON ALGORITHMIC APPROACHES

      • Decision tree, K nearest neighbors, deep learning.
  • PROGRAMMING LANGUAGES

      • Python, Java, R, C++.
  • EVALUATING MACHINE LEARNING MODELS

      • Quantify errors; testing and validation.
  • EXAMPLES OF MACHINE LEARNING APPLICATIONS IN O&G

Learning Objectives

  • Upon completion of the course, participants will be able to:
  • describe the different types of machine learning, algorithms, techniques and models,
  • identify the main programming languages used in machine learning,
  • examine some machine learning applications in the O&G industry.

Ways & Means

  • Interactive lectures and exercises.

More

Coordinator :IFP Training trainers (permanent or contracted) having a good expertise and/or experience of the related topics, trained to adult teaching methods, and whose competencies are kept up-to-date.

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 : referent.handicap@ifptraining.com