Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Natural Language Processing

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (39)

Supervised Learning Fundamentals Log in to Mediaspace to watch this video

Introduces the fundamentals of supervised learning, including loss functions and probability distributions.

Regression Trees and Ensemble Methods in Machine Learning Log in to Mediaspace to watch this video

Discusses regression trees, ensemble methods, and their applications in predicting used car prices and stock returns.

Word Embeddings: Models and Learning Log in to Mediaspace to watch this video

Explores word embeddings, context importance, and learning algorithms for creating new representations.

Machine Learning at the Atomic Scale Log in to Mediaspace to watch this video

Explores simple models, electronic structure evaluation, and machine learning at the atomic scale.

Deep Generative Models Log in to Mediaspace to watch this video

Covers deep generative models, including variational autoencoders, GANs, and deep convolutional GANs.

Introduction to Image Classification Log in to Mediaspace to watch this video

Covers image classification, clustering, and machine learning techniques like dimensionality reduction and reinforcement learning.

Machine Learning Fundamentals Log in to Mediaspace to watch this video

Covers the fundamental concepts of machine learning, including classification, algorithms, optimization, supervised learning, reinforcement learning, and various tasks like image recognition and text generation.

Introduction to Machine Learning Log in to Mediaspace to watch this video

Covers the basics of machine learning, including supervised and unsupervised learning, linear regression, and classification.

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.

Neural Networks for NLP Log in to Mediaspace to watch this video

Covers modern Neural Network approaches to NLP, focusing on word embeddings, Neural Networks for NLP tasks, and future Transfer Learning techniques.

Financial Time Series Analysis Log in to Mediaspace to watch this video

Covers stylized facts of asset returns, summary statistics, testing for normality, Q-Q plots, and efficient market hypothesis.

Introduction to Machine Learning Log in to Mediaspace to watch this video

Introduces fundamental machine learning concepts and algorithms for model training and evaluation.

Image Processing II: Bayesian Classification and Decision Making Log in to Mediaspace to watch this video

Explores Bayesian classification, decision making, and pattern recognition applications in image processing.

Principal Component Analysis: Eigenfaces Log in to Mediaspace to watch this video

Covers the application of Principal Component Analysis in facial recognition using a famous faces dataset.

Bias-Variance Trade-Off Log in to Mediaspace to watch this video

Explores underfitting, overfitting, and the bias-variance trade-off in machine learning models.

Coordinate Descent: Optimization Strategies Log in to Mediaspace to watch this video

Explores coordinate descent optimization strategies, emphasizing simplicity in optimization through one-coordinate updates and discussing the implications of different approaches.

Reducing Greenhouse Gas Emissions: Challenges and Solutions Log in to Mediaspace to watch this video

Explores challenges and ethical dilemmas in reducing greenhouse gas emissions, emphasizing the importance of taking action for economic and ethical reasons.

Deep Learning Fundamentals Log in to Mediaspace to watch this video

Introduces deep learning fundamentals, covering data representations, neural networks, and convolutional neural networks.

Information Retrieval Indexing: Latent Semantic Indexing Log in to Mediaspace to watch this video

Explores Latent Semantic Indexing in Information Retrieval, discussing algorithms, challenges in Vector Space Retrieval, and concept-focused retrieval methods.

Page 2 of 2