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
Advanced Spark Optimizations and Partitioning
Graph Chatbot
Related lectures (56)
Machine Learning Fundamentals: Regularization and Cross-validation
Log in to Mediaspace to watch this video
Explores overfitting, regularization, and cross-validation in machine learning, emphasizing the importance of feature expansion and kernel methods.
Binary Response: Link Functions
Log in to Mediaspace to watch this video
Explores binary response interpretation, link functions, logistic regression, and model selection using deviances and information criteria.
Linear Models: Part 2
Log in to Mediaspace to watch this video
Covers linear models, binary and multi-class classification, and logistic regression with practical examples.
Clustering Evaluation
Log in to Mediaspace to watch this video
Explores clustering evaluation using the RAND index and ontologies, followed by classic clustering algorithms.
Linear Models & k-NN
Log in to Mediaspace to watch this video
Covers linear models, logistic regression, decision boundaries, k-NN, and practical applications in authorship attribution and image data analysis.
Discretization: Methods and Techniques
Log in to Mediaspace to watch this video
Explores discretization methods, including equal width and equal frequency techniques, as well as x2 statistics for independence testing.
Polynomial Regression: Overview
Log in to Mediaspace to watch this video
Covers polynomial regression, flexibility impact, and underfitting vs overfitting.
Spin Glasses and Bayesian Estimation
Log in to Mediaspace to watch this video
Covers the concepts of spin glasses and Bayesian estimation, focusing on observing and inferring information from a system closely.
Datalog Evaluation with Multi-Stage Programming
Log in to Mediaspace to watch this video
Explores Datalog evaluation, DSL embedding, semantics, fixpoint algorithms, and multi-stage programming.
WS1S Solver: Project Structure
Log in to Mediaspace to watch this video
Explores the project structure for solving WS1S formulas and planned additions.
Linear Models: Continued
Log in to Mediaspace to watch this video
Explores linear models, regression, multi-output prediction, classification, non-linearity, and gradient-based optimization.
Block Models: Continued Analysis
Log in to Mediaspace to watch this video
Explores the stochastic blockmodel, spectral clustering, and non-parametric understanding of blockmodels, emphasizing metrics for comparing graph models.
Latent Space Models: Inference and Applications
Log in to Mediaspace to watch this video
Explores latent space models, network representations, spectral decompositions, and parameter estimation methods.
Feature Engineering: Polynomial Regression
Log in to Mediaspace to watch this video
Covers fitting linear regression on features of the original predictors for flexible feature representation.
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.
Untitled
Log in to Mediaspace to watch this video
Previous
Page 3 of 3
Next
