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
PCA: Derivation and Optimization
Graph Chatbot
Related lectures (53)
Stochastic Gradient Descent
Log in to Mediaspace to watch this video
Explores stochastic gradient descent optimization and the Mean-Field Method in neural networks.
Self-Concordant Functions
Log in to Mediaspace to watch this video
Explores self-concordant functions, their properties, definitions, and optimization in mathematical problems.
Linear Programming Duality
Log in to Mediaspace to watch this video
Explores the concept of duality in linear programming and its practical implications in optimization.
Algorithmic Complexity: Visualization and Analysis
Log in to Mediaspace to watch this video
Explores algorithmic complexity, visualization of functions, and algorithm efficiency analysis using Python.
Shared-Work Systems: Optimization and Execution Scalability
Log in to Mediaspace to watch this video
Explores scalability challenges in shared-work systems, emphasizing optimization and execution, experimental setups, data-query operators, and the impact of schema on learning.
Linear Algebra Basics
Log in to Mediaspace to watch this video
Covers the basics of linear algebra, including minimizing costs and optimal packing strategies.
Estimating Relaxation Time: Variance and Chains
Log in to Mediaspace to watch this video
Covers the estimation of relaxation time in chains and the importance of sample sizes.
Data Cleaning Challenges: Optimizing Error Detection
Log in to Mediaspace to watch this video
Addresses challenges in data cleaning for analysis, proposing optimizations to reduce processing time.
Optimization of Pseudometrics in Graphs
Log in to Mediaspace to watch this video
Covers the optimization of pseudometrics in graphs, focusing on minimizing pseudometrics and the shortest path metric.
Elements of Statistics: Probability and Random Variables
Log in to Mediaspace to watch this video
Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.
Maximum Likelihood Estimation: Theory
Log in to Mediaspace to watch this video
Covers the theory behind Maximum Likelihood Estimation, discussing properties and applications in binary choice and ordered multiresponse models.
Proof of Strong Duality
Log in to Mediaspace to watch this video
Covers the proof of strong duality in optimization problems and provides examples of Rayleigh quotient optimization.
Algorithms: Efficiency Analysis
Log in to Mediaspace to watch this video
Covers the analysis of algorithm efficiency and optimizing code for faster execution.
Previous
Page 3 of 3
Next