Unsupervised Learning

Clustering K-Means Dimensionality reduction PCA

By | April 10th, 2018|Uncategorized, עברית|Comments Off on Unsupervised Learning

Supervised learning

פרספטרון רגרסיה לינארית SVM ושיטות הקרנל עצי החלטה שיטות בייסיאניות Neural Networks

By | April 10th, 2018|Uncategorized, עברית|Comments Off on Supervised learning

Deep Learning

Back-Propagation ארכיטקטורות CNN GAN RNN RNN: LSTM, GRU Reinforcement Learning

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תיאוריה

פורמליזציה של הלמידה VC Dimension תורת ה- PAC Bias – Variance tradeoff

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Unsupervised Learning

Clustering K-Means Dimensionality reduction PCA

By | February 6th, 2018|english, Uncategorized|Comments Off on Unsupervised Learning

Supervised learning

Perceptron Linear regression SVM and kernel methods Decision trees Bayesian methods Neural networks

By | February 6th, 2018|english, Uncategorized|Comments Off on Supervised learning

Deep Learning

Neural network learning: Back-Propagation CNN architectures Generative Adversarial Networks (GANs) Recurrent Neural networks (RNNs) Advanced RNN: LSTM, GRU, nLSTM Deep reinforcement learning

By | February 6th, 2018|english, Uncategorized|0 Comments

Theory

Formalization of learning VC dimension PAC theory Bias - Variance tradeoff

By | February 6th, 2018|english, Uncategorized|Comments Off on Theory