MLVU
Publishes 2 feeds
VU Machine Learning 2018
10 posts · theirs
VU Machine Learning 2020
10 posts · theirs
Lately
12 Recommendation, Embeddings and Matrix Factorization
11 Sequences: Markov Models, Word2Vec and LSTMs (MLVU)
10 Tree Models and Ensembles: Decision Trees, AdaBoost, Gradient Boosting (MLVU2020)
9 Deep Learning for Generative Models: GANs and VAEs (MLVU2020)
7 Deep Learning: tensor backpropagation, convolutional layers (MLVU2020)
6 Linear Models 2: Neural Networks, Scalar Backpropagation, SVMs and Kernel methods (MLVU2020)
5 Probability 1: Logistic regression, Log loss, Entropy (MLVU2020)
4 Methodology for pre-processing, PCA, Eigenfaces (MLVU2020)
3 Methodology for evaluation: AUC, Bias and Variance (MLVU2020)
2 Linear Regression, Classification and Gradient Descent (MLVU2020)
14 Review and outlook (MLVU2018)
13 Reinforcement Learning: Policy Gradients, Q Learning, AlphaGo (MLVU2018)
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