Automatic learning

Discover Machine Learning.
Keywords:

Classification, regression.
Gradient descent.
Perceptron, Multi-Layer Perceptron (MLP)
Artificial neural networks
Self-organizing map
Scikit-learn, TensorFlow/Keras.

Know how to program in an object-oriented computer language.

Speakers : B. Pesquet, J.-M. Salotti.

Introduction to Machine Learning through an end-to-end example.
ML fundamentals and mathematical formalization: notions of model, loss, gradient descent, evaluation metrics.
Python language: the essentials.
Supervised classification, 1-layer perceptron.
Supervised learning, multi-layer perceptron.
Self-organizing maps.
Deep Learning: convolution neural networks.
Introduction to reinforcement learning.

Cognitics: Artificial intelligence