Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Interpretable Machine Learning: Sparse Decision Trees and Interpretable Neural Networks
Graph Chatbot
Related lectures (36)
Decision Trees: Classification
Log in to Mediaspace to watch this video
Explores decision trees for classification, entropy, information gain, one-hot encoding, hyperparameter optimization, and random forests.
Computer Vision: Historical Insights and Project Inspirations
Log in to Mediaspace to watch this video
Explores the historical development of computer vision and inspires innovative project ideas.
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.
Machine Learning and Modern AI: SWOT Analysis
Log in to Mediaspace to watch this video
Covers a SWOT analysis of Machine Learning and Artificial Intelligence, exploring strengths, weaknesses, opportunities, and threats in the field.
PyTorch and Convolutional Networks
Log in to Mediaspace to watch this video
Covers PyTorch tensor data structure and training a CNN to classify images.
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.
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.
Feed-forward Networks
Log in to Mediaspace to watch this video
Introduces feed-forward networks, covering neural network structure, training, activation functions, and optimization, with applications in forecasting and finance.
Visual Intelligence: Machines and Minds
Log in to Mediaspace to watch this video
Explores visual intelligence, image formation, computer vision, and representation understanding in machines and minds.
Statistical Learning: Fundamentals
Log in to Mediaspace to watch this video
Introduces the fundamentals of statistical learning, covering supervised learning, decision theory, risk minimization, and overfitting.
Deep Learning: Data Representations and Neural Networks
Log in to Mediaspace to watch this video
Covers data representations, Bag of Words, histograms, data pre-processing, and neural networks.
Neural Networks: Regression and Classification
Log in to Mediaspace to watch this video
Explores neural networks for regression and classification tasks, covering training, regularization, and practical examples.
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.
Neural Networks: Single-Layer Control
Log in to Mediaspace to watch this video
Explores the implementation of single-layer neural network controllers and the impact of sensor numbers on behavior complexity.
Course Project Choice
Log in to Mediaspace to watch this video
Introduces the course project for CS-503, emphasizing the importance of project selection related to vision and perceptual agents.
Engineering Neurons: Light, Chemicals, Sound
Log in to Mediaspace to watch this video
Explores optogenetics, chemogenetics, and sonogenetics to engineer neural activity using light, chemicals, and sound.
Previous
Page 2 of 2
Next
