Skip to content

training program

Applied Machine Learning

Filet symbolisant les fondements du machine learning

Master the fundamentals of applied Machine Learning

Content

This applied machine learning training will make you acquire the fundamental foundation of the data scientist in machine learning and will allow you to become operational on your data science use cases.

At the end of this training, trainees will be able to create, train and evaluate their own predictive models. Mastery of the main machine learning algorithms will make trainees versatile in most data science use cases.

All the theoretical concepts studied will be accompanied by a “red line” use-case, which will be implemented by the trainees throughout the training.

course objectives

At the end of the training, you will be able to :

  • Understand machine learning and its uses

  • Master and know how to use a full range of algorithms

  • Continuously improve results with “features engineering”

  • Implement end-to-end machine learning applications

  • Rigorously evaluate their predictive models

In-house training: the exercises and data can be adapted to the participants’ business specificities.

Next TRAINING
Contact us directly to organise an in-house training
level
audience

Developer, business analyst, data analyst, data engineer, quantitative analyst, statistician

course instructor
Thibaud Vienne
Thibaud Vienne

Expert in Machine Learning

Professor of applied mathematics.
Teacher at the University of Cote d ́Azur and Polytech Nice Sophia. CNRS / INRIA researcher.

Call to action
modalities

4 to 10 participants

3 to 8 participants

Intra-company only

course length

4 days – 28h

course fees

Price : 19700£ / pers.
In-house : on demand

Search

Sign in

Credits

Photos: Patrice Negros, Adobe Stock
Webdesign: agdg.fr