Understand and master the founding principles of Machine Learning
Content
course objectives
At the end of the training, you will be able to :
- Understand the challenges of Machine Learning;
- Understand the mathematical and algorithmic foundations of supervised (SVM, LASSO), unsupervised (K-Means, spectral clustering), and reinforcement learning (Q-learning, policy iteration) learning.
In-house training: the exercises and data can be adapted to the participants’ business specificities.
level
audience
Anyone with a technical background wishing to quickly become operational in Data Science and Machine Learning.
course instructor
Jean-Baptiste Caillau
Chief Scientist
Professor of applied mathematics.
Teacher at the University of Cote d ́Azur and Polytech Nice Sophia. CNRS / INRIA researcher.
Call to action
modalities
8 to 12 participants
8 to 12 participants
InIndividual, inter/intra-company
course length
2 days – 14h
course fees
Price : 850£ / pers.
In-house : on demand