Regularized Cross-Entropy RiskExplores the regularized cross-entropy risk in neural networks, covering training processes and challenges in deep networks.
Link-based ranking: PageRank & HITSExplores link-based ranking through PageRank and HITS algorithms, covering practical examples and challenges in web search and ranking methods.
Latent Semantic IndexingCovers Latent Semantic Indexing, word embeddings, and the skipgram model with negative sampling.
Neural Networks: Multilayer PerceptronsCovers Multilayer Perceptrons, artificial neurons, activation functions, matrix notation, flexibility, regularization, regression, and classification tasks.
Deep Learning for NLPIntroduces deep learning concepts for NLP, covering word embeddings, RNNs, and Transformers, emphasizing self-attention and multi-headed attention.
