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Machine Learning Essentials

March 12 - March 13

“Machine Learning Essentials” is a 2-day course introducing fundamental components of a machine learning pipeline utilizing the open source scikit-learn library. The training covers many supervised learning models, such as linear regression, discriminative classification with logistic regression, regularization, basic generative classification, nonparametric classification with decision trees and their ensembles, mixture models and clustering, mixed membership modeling with latent Dirichlet allocation and matrix factorization models.

The attendees will get familiar with the assumptions of these models, algorithms for learning such models from data, and implementing a machine learning pipeline, from data preprocessing to model selection, using scikit-learn.

Details

Start:
March 12
End:
March 13
Event Category:

Venue

Istanbul Venue
Adres
Istanbul, 34345 Turkey
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Phone:
+90 212 217 63 88

Organizer

Analytics Center
Phone:
+90 212 217 63 88