INF554 - Machine and Deep Learning

Computer Science M1 programme (PA-info)

École Polytechnique

Information:

The Data Science and Mining - Introduction to Machine Learning class will cover the following aspects:

  • The Machine Learning Pipeline

  • Data Preprocessing and Exploration

  • Feature Selection/Engineering & Dimensionality reduction

  • Supervised Learning

  • Unsupervised Learning

  • Web Mining: recommendations, collaborative filtering, opinion/sentiment analysis, web advertising & algorithms.

  • Learning from graphs: ranking in graphs, ranked lists comparison, learning to rank, community detection and graph clustering, applications

The course will take place on Mondays afternoon from 21/09 for 9 weeks and will be divided into nine 4-hour sessions of teaching: (14:00 - 16:00) in online synchronous classes (exact links will be announced) and (16:15 -18:15) in online synchronous lab sessions (exact links will be announced)

Moodle:

Full info:

https://moodle.polytechnique.fr/enrol/index.php?id=9331

(page in construction)