21 Cours gratuits sur l’IA et le Big Data

200 Uni­ver­sités vien­nent de lancer 600 cours gra­tu­its sous la forme de MOOCs. Voici ceux qui pour­raient vous intéresser:

1. Neur­al Net­works and Deep Learn­ing from deeplearning.ai (taught by Stan­ford prof. Andrew Ng)
2. Machine Learn­ing from Geor­gia Insti­tute of Technology
3. Improv­ing Deep Neur­al Net­works: Hyper­pa­ra­me­ter tun­ing, Reg­u­lar­iza­tion and Opti­miza­tion from deeplearning.ai
4. Struc­tur­ing Machine Learn­ing Projects from deeplearning.ai
5. Sequence Mod­els from deeplearning.ai
6. Con­vo­lu­tion­al Neur­al Net­works from deeplearning.ai
7. Acces­si­ble Gam­i­fi­ca­tion for Busi­ness from Geor­gia Insti­tute of Technology
8. Bayesian Meth­ods for Machine Learn­ing from High­er School of Economics
9. Nat­ur­al Lan­guage Pro­cess­ing from High­er School of Economics
10. Intro­duc­tion to Deep Learn­ing from High­er School of Economics
11. Deep Learn­ing in Com­put­er Vision from High­er School of Economics
12. Cut­ting Edge Deep Learn­ing For Coders, Part 2 from fast.ai
13. Advanced MATLAB for Sci­en­tif­ic Com­put­ing from Stan­ford University
14. Data Sci­ence: R Basics from Har­vard University
15. Big Data Ana­lyt­ics in Health­care from Geor­gia Insti­tute of Technology
16. Python Data Visu­al­iza­tion from Rice Uni­ver­si­ty
17. Python Data Analy­sis from Rice Uni­ver­si­ty
18. Under­stand­ing Your Data: Ana­lyt­i­cal Tools from Uni­ver­si­ty of Virginia
19. Big Data and the Envi­ron­ment from Uni­ver­si­ty of Reading
20. Pre­dic­tive Mod­el­ing in Learn­ing Ana­lyt­ics from Uni­ver­si­ty of Texas Arlington
21. Sim­u­la­tion Neu­ro­science from École Poly­tech­nique Fédérale de Lausanne

Retrou­vez la liste com­plète ici. Mer­ci à Mélis­sa K. pour l’info.