Recommender Systems: Text Classification & Naïve Bayes

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Related lectures (40)

Supervised Learning: Classification Algorithms Log in to Mediaspace to watch this video

Explores supervised learning in financial econometrics, emphasizing classification algorithms like Naive Bayes and Logistic Regression.

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

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

Document Classification Log in to Mediaspace to watch this video

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

Information Retrieval Basics Log in to Mediaspace to watch this video

Introduces the basics of information retrieval, covering text-based and Boolean retrieval, vector space retrieval, and similarity computation.

SVM and Multiclass Classification Log in to Mediaspace to watch this video

Covers SVM and multiclass classification using one-vs-all and one-vs-one approaches.

Support Vector Machines: Soft Margin Log in to Mediaspace to watch this video

Explores Support Vector Machines with a focus on soft margin and multiclass classification using binary classifiers.

Data Mining: Introduction Log in to Mediaspace to watch this video

Covers the challenges and opportunities of data mining, practical questions, algorithm components, and applications like shopping basket analysis.

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.

Latent Semantic Indexing: Concepts and Applications Log in to Mediaspace to watch this video

Explores Latent Semantic Indexing, a technique for mapping documents into a concept space for retrieval and classification.

Foundations of Information Systems: Course Overview and Key Concepts Log in to Mediaspace to watch this video

Introduces the course on information systems, covering its structure, objectives, and foundational concepts essential for understanding data management and decision-making.

Query Expansion: Methods and Algorithms Log in to Mediaspace to watch this video

Explores query expansion methods, user relevance feedback, Rocchio algorithm, and practical considerations in expanding queries.

Machine Learning Fundamentals: Structure Discovery, Classification, Regression Log in to Mediaspace to watch this video

Covers fundamental machine learning concepts including Structure Discovery, Classification, and Regression.

Text-Based Information Retrieval Log in to Mediaspace to watch this video

Covers the basic concepts of text-based information retrieval and how documents are indexed and retrieved based on user queries.

Probabilistic Retrieval Models Log in to Mediaspace to watch this video

Covers probabilistic retrieval models, evaluation metrics, query likelihood, user relevance feedback, and query expansion.

Matrix Factorization: Optimization and Evaluation Log in to Mediaspace to watch this video

Explores matrix factorization optimization, evaluation methods, and challenges in recommendation systems.

Classification pipeline: building and evaluating Log in to Mediaspace to watch this video

Explains building and evaluating a classification pipeline using tweet data sets.

Flow Control & File I/O Log in to Mediaspace to watch this video

Covers flow control concepts and file input/output operations, including loops, conditions, and handling command line arguments.

Indexing for Information Retrieval Log in to Mediaspace to watch this video

Explores indexing techniques, inverted files, map-reduce models, and trie usage for efficient information retrieval.

Untitled Log in to Mediaspace to watch this video

Linear Models: Classification Basics Log in to Mediaspace to watch this video

Explores linear models for classification, logistic regression, SVM, k-NN, and curse of dimensionality.

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