Français
Basics in machine learning - lecture 2
Multi angle
Authors : Clausel, Marianne (Author of the conference)
CIRM (Publisher )
68-06 - Proceedings, conferences, collections, etc.
68T05 - Learning and adaptive systems
93B47 - Iterative learning control
CIRM (Publisher )
Loading the player...
|
Abstract :
This course introduces fundamental concepts in machine learning and presents some classical approaches and algorithms. The scikit-learn library is presented during the practical sessions. The course aims at providing fundamental basics for using machine learning techniques.
Class (4h)
General Introduction to Machine Learning (learning settings, curse of dimensionality, overfitting/underfitting, etc.)
Overview of Supervised Learning: True risk/Empirical risk, loss functions, regularization, sparsity, norms, bias/variance trade-off, PAC generalization bounds, model selection.
Classical machine learning models: Support Vector Machines, Kernel Methods, Decision trees and Random Forests
An introduction to uncertainty in ML: Gaussian Processes, Quantile Regression with RF
Labs (4h)
Introduction to scikit-learn
Classical Machine learning Models with scikit-learn
Uncertainty in ML
MSC Codes : Class (4h)
General Introduction to Machine Learning (learning settings, curse of dimensionality, overfitting/underfitting, etc.)
Overview of Supervised Learning: True risk/Empirical risk, loss functions, regularization, sparsity, norms, bias/variance trade-off, PAC generalization bounds, model selection.
Classical machine learning models: Support Vector Machines, Kernel Methods, Decision trees and Random Forests
An introduction to uncertainty in ML: Gaussian Processes, Quantile Regression with RF
Labs (4h)
Introduction to scikit-learn
Classical Machine learning Models with scikit-learn
Uncertainty in ML
68-06 - Proceedings, conferences, collections, etc.
68T05 - Learning and adaptive systems
93B47 - Iterative learning control
|
Information on the Video
Film maker : Hennenfent, GuillaumeLanguage : English Available date : 22/02/2021 Conference Date : 26/01/2021 Subseries : Research School arXiv category : Machine Learning Mathematical Area(s) : Computer Science Format : MP4 (.mp4) - HD Video Time : 01:16:05 Targeted Audience : Researchers Download : https://videos.cirm-math.fr/2021-01-25_Clausel_2.mp4 
|
Information on the Event
Event Title : Mathematics, Signal Processing and Learning / Mathématiques, traitement du signal et apprentissageEvent Organizers : Anthoine, Sandrine ; Chaux, Caroline ; Mélot, Clothilde ; Richard, Frédéric Dates : 25/01/2021 - 29/01/2021 Event Year : 2021 Event URL : https://conferences.cirm-math.fr/2472.html
Citation Data
DOI : 10.24350/CIRM.V.19704503Cite this video as: Clausel, Marianne (2021). Basics in machine learning - lecture 2. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19704503 URI : http://dx.doi.org/10.24350/CIRM.V.19704503 |
See Also
- [Multi angle] Teasing poster: mathematics, signal processing and learning / Author of the conference Antonsanti, Pierre-Louis ; Author of the conference Belotto Da Silva, André ; Author of the conference Cano, Cyril ; Author of the conference Cohen, Jeremy ; Author of the conference Doz, Cyprien ; Author of the conference Lazzaretti, Marta ; Author of the conference Pilavci, Yusuf Yigit ; Author of the conference Rodriguez, Willy ; Author of the conference Stergiopoulou, Vasiliki ; Author of the conference Kaloga, Yacouba ; Author of the conference Safaa, Al-Ali.
- [Virtualconference] Optimization - lecture 4 / Author of the conference Pustelnik, Nelly.
- [Virtualconference] Optimization - lecture 3 / Author of the conference Pustelnik, Nelly.
- [Virtualconference] Optimization - lecture 2 / Author of the conference Pustelnik, Nelly.
- [Virtualconference] Optimization - lecture 1 / Author of the conference Pustelnik, Nelly.
- [Multi angle] One signal processing view on deep learning - lecture 2 / Author of the conference Oyallon, Edouard.
- [Multi angle] One signal processing view on deep learning - lecture 1 / Author of the conference Oyallon, Edouard.
- [Virtualconference] Signal processing tutorial - part 2 / Author of the conference Oudre, Laurent.
- [Virtualconference] Signal processing tutorial - part 1 / Author of the conference Oudre, Laurent.
- [Virtualconference] Reinforcement learning - lecture 4 / Author of the conference Lazaric, Allesandro.
- [Virtualconference] Reinforcement learning - lecture 3 / Author of the conference Lazaric, Allesandro.
- [Virtualconference] Reinforcement learning - lecture 2 / Author of the conference Lazaric, Allesandro.
- [Virtualconference] Reinforcement learning - lecture 1 / Author of the conference Lazaric, Allesandro.
- [Multi angle] Basics in machine learning - practical session 2 / Author of the conference Clausel, Marianne.
- [Multi angle] Basics in machine learning - practical session 1 / Author of the conference Clausel, Marianne.
- [Multi angle] Basics in machine learning - lecture 1 / Author of the conference Clausel, Marianne.
Bibliography
