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
Lecture
Motor control systems
Graph Chatbot
Related lectures (32)
Previous
Page 3 of 4
Next
Heuristic Optimization Methods
Explores heuristic optimization methods to find the global optimum efficiently.
Optimization: Mathematical Principles and Algorithms
Covers mathematical principles and algorithms of optimization, using real-world examples and Python implementation.
Convex Sets: MGT-418 Lecture
On Convex Optimization covers course organization, mathematical optimization problems, solution concepts, and optimization methods.
Linear Programming: Optimization and Constraints
Explores linear programming optimization with constraints, Dijkstra's algorithm, and LP formulations for finding feasible solutions.
Machine Learning in Chemistry: Bayesian Reaction Optimization
Explores machine learning in chemistry, focusing on Bayesian reaction optimization and shifting the experimental burden from humans to machines.
Optimization on Manifolds: Context and Applications
Introduces optimization on manifolds, covering classical and modern techniques in the field.
Computational Aspects of Optimization
Explores optimization in neuron modeling, addressing underconstrained parameters, fitness functions, and successful fitting of firing patterns.
Optimization Algorithms: Greedy Approach
Explores optimization problems and greedy algorithms for efficient decision-making.
Computer Architecture: Algorithms to Programs (Compilation)
Explores the transition from algorithms to programs through compilation, emphasizing constraints and machine-understandable coding practices.
Understanding Generalization: Implicit Bias & Optimization
Explores the trade-off between complexity and risk in machine learning models, the benefits of overparametrization, and the implicit bias of optimization algorithms.
