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Related lectures (31)

Topic Models Log in to Mediaspace to watch this video

Introduces topic models, covering clustering, GMM, LDA, Dirichlet distribution, and variational inference.

Topic Models: Understanding Latent Structures Log in to Mediaspace to watch this video

Explores topic models, Gaussian mixture models, Latent Dirichlet Allocation, and variational inference in understanding latent structures within data.

Information Extraction & Knowledge Inference Log in to Mediaspace to watch this video

Explores information extraction, knowledge inference, taxonomy induction, and entity disambiguation.

Topic Models: Latent Dirichlet Allocation Log in to Mediaspace to watch this video

Introduces Latent Dirichlet Allocation for topic modeling in documents, discussing its process, applications, and limitations.

Knowledge Inference: Entity Disambiguation and Graph Embeddings Log in to Mediaspace to watch this video

Explores entity disambiguation, graph embeddings, scoring functions, and learning methods.

Data Science Visualization with Pandas Log in to Mediaspace to watch this video

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Topic Models: Latent Dirichlet Allocation Log in to Mediaspace to watch this video

Covers topic models, focusing on Latent Dirichlet Allocation, clustering, GMMs, Dirichlet distribution, LDA learning, and applications in digital humanities.

Deep Generative Models Log in to Mediaspace to watch this video

Covers deep generative models, including LDA, autoencoders, GANs, and DCGANs.

Project-Based Learning in Communications and Robotics Log in to Mediaspace to watch this video

Introduces a project-based course in communications and robotics, emphasizing practical projects and independent learning to prepare students for real-world challenges.

Statistical Analysis of Networks: Link Prediction and Biclustering Log in to Mediaspace to watch this video

Explores link prediction, logistic regression, causal inference, and biclustering in statistical network analysis.

Gaussian Naive Bayes & K-NN Log in to Mediaspace to watch this video

Covers Gaussian Naive Bayes, K-nearest neighbors, and hyperparameter tuning in machine learning.

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