Statistical Modeling

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Related lectures (29)

Linear Classification: Logistic Regression Log in to Mediaspace to watch this video

Covers linear classification using logistic regression, regularization, and multiclass classification.

Multi-Class Classification: Approaches and Boundaries Log in to Mediaspace to watch this video

Explains the strategies for multi-class classification and the concept of decision boundaries.

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.

Recommender Systems: Text Classification & Naïve Bayes Log in to Mediaspace to watch this video

Explores text classification using Naïve Bayes in content-based recommenders.

Linear Models for Classification: Multi-Class Extensions Log in to Mediaspace to watch this video

Covers linear models for multi-class classification, focusing on logistic regression and evaluation metrics.

Feature Extraction & Clustering Methods Log in to Mediaspace to watch this video

Covers feature extraction, clustering, and classification methods for high-dimensional datasets and behavioral analysis using PCA, t-SNE, k-means, GMM, and various classification algorithms.

Link Prediction: Missing Edges and Probabilistic Methods Log in to Mediaspace to watch this video

Explores link prediction in networks, covering missing edges, probabilistic methods, and causal inference challenges.

Document Classification Log in to Mediaspace to watch this video

Explores document classification methods, including Naïve Bayes and word embeddings.

Classification Algorithms: Generative and Discriminative Approaches Log in to Mediaspace to watch this video

Explores generative and discriminative classification algorithms, emphasizing their applications and differences in machine learning tasks.

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