Dong Guo

91 Followers

9 SlideShares 91 Followers 34 Followings

9 SlideShares 91 Followers 34 Followings

machine learning logistic regression convex optimization reinforcement learning spark supervised learning deep learning parameter server expectation propagation factor graph message passing graph model bayesian inference loss function hypothesis space gradient boosting tree tree boosting boosting tree wrapper filter feature selection multinominal logistic regression l2 regularization l1 regularization generalized linear model machine learning application model trade off

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Machine learning Introduction

11 years ago • 2131 Views

Logistic Regression

11 years ago • 6019 Views

Feature selection

11 years ago • 14538 Views

Additive model and boosting tree

11 years ago • 2806 Views

Expectation propagation

10 years ago • 2128 Views

机器学习概述

8 years ago • 1964 Views

DQN (Deep Q-Network)

5 years ago • 2354 Views

AlphaGo zero

5 years ago • 339 Views

Convex optimization methods

5 years ago • 1368 Views

Logistic Regression

Dong Guo • 11 years ago

machine learning logistic regression convex optimization reinforcement learning spark supervised learning deep learning parameter server expectation propagation factor graph message passing graph model bayesian inference loss function hypothesis space gradient boosting tree tree boosting boosting tree wrapper filter feature selection multinominal logistic regression l2 regularization l1 regularization generalized linear model machine learning application model trade off

See more