Lectures related to Entity & Information Extraction

Explores the Nearest Neighbor Rules, k-NN algorithm challenges, Bayes classifier, and k-means algorithm for clustering.

Explores Text Understanding, focusing on Named Entities, Information Extraction, and Machine Reading methods.

Provides an overview of Machine Learning, including historical context, key tasks, and real-world applications.

Covers CNNs, RNNs, SVMs, and supervised learning methods, emphasizing the importance of tuning regularization and making informed decisions in machine learning.

Nonlinear Supervised Learning

Explores the inductive bias of different nonlinear supervised learning methods and the challenges of hyper-parameter tuning.

Introduction to Supervised Learning

Introduces supervised learning using labeled data points to optimize classifier output.

Machine Learning Biases

Covers the basics of machine learning, challenges in deployment, adversarial attacks, and privacy concerns.

Introduction to Machine Learning: Supervised Learning

Introduces supervised learning, covering classification, regression, model optimization, overfitting, and kernel methods.

Supervised Learning: Classification and Regression

Covers supervised learning, classification, regression, decision boundaries, overfitting, Perceptron, SVM, and logistic regression.

Information Extraction: Methods and Applications Log in to Mediaspace to watch this video

Explores methods for information extraction, including traditional and embedding-based approaches, supervised learning, distant supervision, and taxonomy induction.

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.

Information Extraction: Bootstrapping Log in to Mediaspace to watch this video

Explores Information Extraction approaches like hand-written patterns and distant supervision, with examples of entity pairs matching patterns.

Matrix Factorization: Information Extraction Log in to Mediaspace to watch this video

Explores matrix factorization for information extraction, Bayesian ranking, and relation embeddings.

Supervised Learning in Asset Pricing Log in to Mediaspace to watch this video

Explores supervised learning in asset pricing, focusing on stock return prediction challenges and model assessment.

Information Extraction: Algorithms and Techniques Log in to Mediaspace to watch this video

Explores algorithms and techniques for information extraction, including Viterbi algorithm, named entities recognition, and distant supervision.

Semantic Web & Information Extraction Log in to Mediaspace to watch this video

Explores Semantic Web, ontologies, information extraction, key phrases, named entities, and knowledge bases.

Matrix Factorization: Linking Text to Knowledge Bases Log in to Mediaspace to watch this video

Explores distant supervision for linking text to knowledge bases using entity extraction and classifiers.

Information Extraction: Approaches and Techniques Log in to Mediaspace to watch this video

Covers Information Extraction approaches, including hand-written patterns and supervised learning.

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

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

Supervised Learning: Regression Methods Log in to Mediaspace to watch this video

Explores supervised learning with a focus on regression methods, including model fitting, regularization, model selection, and performance evaluation.