Objectives

Businesses must constantly adapt to new situations, very often in a very short time.

Artificial Intelligence, through Machine Learning (ML), has this ability toanalyze weak signals in company data to enableAnticipate as soon as possible changes and associated risks.

During this training you will:

  • Discover the operating principles of an ML algorithm
  • Understand how ML answers many business issues
  • Addressing the concept of Deep Learning

At the end of this training, you will have identified areas of application of Machine Learning for your company.

5

maximum number of people

4 hours

of training courses

French

as the main language

Prerequisites

None.

Target audience

Anyone who wants to make predictions based on Data.

Educational resources

The training alternates between theoretical courses and participatory sessions with illustrations by concrete cases (business use cases).

Instructor profiles

Optimiser la façon d’utiliser les ressources pour créer le plus de valeur possible.

Training program

Introduction to Machine Learning

  1. Definition of machine learning
  2. The different types of apprenticeships
  3. The stages of a Machine Learning project

Machine learning and business issues

  1. Presentation of business use cases
  2. Description of the methods used
  3. Regression (prediction)
  4. Classification
  5. Clustering
  6. Ideation of use cases and implementation of a Machine Learning solution

Introduction to Deep Learning

  1. General presentation
  2. Use cases
  3. Challenges and opportunities

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