Actualités

lse2 a
MA429 Algorithmic Techniques in Machine Learning - London School of Economics and Political Science
The course will also cover unsupervised learning methods such as clustering. Ethical issues arising from machine learning are also discussed. The methods are illustrated on practical problems arising ...
lse1 a
MA429 Algorithmic Techniques in Machine Learning - London School of Economics and Political Science
Algorithmic Techniques in Machine Learning. This information is for the 2024/25 session. Teacher responsible. Dr Neil Olver. Availability. ... Machine Learning and Data Mining. Students must have ...
GitHub6 a
Algorithmic-Portfolio-Management-in-R-programming-language
The course, authored by Prof. Jerzy in NYU, applies the R programming language to momentum trading, statistical arbitrage (pairs trading), and other active portfolio management strategies. The course ...
mccormick.northwestern.edu4 a
ELEC_ENG 395, 495: Optimization Techniques for Machine Learning and Deep Learning | Electrical and Computer Engineering - Northwestern University
ELEC_ENG 395, 495: Optimization Techniques for Machine Learning and Deep Learning. This course is not currently offered. Prerequisites A thorough understanding of Linear Algebra and Vector Calculus, ...
PNAS6 a
The importance of better models in stochastic optimization
A major challenge in stochastic optimization—the algorithmic workhorse for much of modern statistical and machine-learning applications—is in setting algorithm parameters (or hyperparameter tuning).
Frontiers2 mois
A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique - Frontiers
To address issues with limited data and computing resources, this work presents a novel deep-learning method based on using a newly proposed hyperparameter optimization method to identify the ...