Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Concept
Weak supervision
Graph Chatbot
Related lectures (30)
Login to filter by course
Login to filter by course
Reset
Machine Learning Fundamentals
Covers the fundamental principles and methods of machine learning, including supervised and unsupervised learning techniques.
Image Processing II: Bayesian Classification and Decision Making
Explores Bayesian classification, decision making, and pattern recognition applications in image processing.
Information Extraction: Bootstrapping
Explores Information Extraction approaches like hand-written patterns and distant supervision, with examples of entity pairs matching patterns.
Introduction to Machine Learning
Introduces fundamental machine learning concepts and algorithms for model training and evaluation.
Automatic Understanding of the Visual World
Explores machine visual perception, weakly-supervised learning, and future research in intelligent systems.
Machine Learning Fundamentals
Introduces machine learning basics, performance metrics, optimization techniques, and model evaluation.
Machine Learning Fundamentals
Covers key concepts and examples of machine learning algorithms and techniques.
Self-supervised learning
Explores self-supervised learning, embedding techniques, HSIC, and geometric information in downstream tasks.
Introduction to Machine Learning: Supervised Learning
Introduces supervised learning, covering classification, regression, model optimization, overfitting, and kernel methods.
Machine Learning Fundamentals
Covers the fundamental concepts of machine learning, including classification, algorithms, optimization, supervised learning, reinforcement learning, and various tasks like image recognition and text generation.
Previous
Page 2 of 2
Next