Approximation Courses and Certifications

University of Alberta;  Alberta Machine Intelligence Institute

Prediction and Control with Function Approximation

23 reviews

Explore advanced reinforcement learning techniques for large state spaces, including function approximation, feature construction, and policy gradient methods. Apply these concepts to solve continuous-state control tasks.

• Coursera
• 21 hours 51 minutes
• On-Demand
• Paid Course

Simons Institute

Stochastic Programming Approach to Optimization Under Uncertainty - Part 2

Explore advanced optimization techniques for uncertain scenarios, covering dynamic programming, discretization, cutting planes, and multistage problems in reinforcement learning theory.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

GERAD Research Center

Stochastic Control with Partial Information: Regularity, Optimality, Approximations, and Learning

Explore regularity, optimality, approximation, and learning in partially observed stochastic control models. Gain insights into filter stability, finite-window policies, and reinforcement learning algorithms.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

École normale supérieure

Approximation Algorithms Part I

556 ratings at Coursera

Explore approximation algorithms for NP-hard problems using linear programming and randomized rounding techniques. Learn to design efficient solutions with provable guarantees for combinatorial optimization challenges.

• Coursera
• 1 day 12 hours 54 minutes
• On-Demand
• Paid Course

Insights into Mathematics

Measurement, Approximation and Interval Arithmetic - Real Numbers and Limits Math Foundations

Explore interval arithmetic, its laws for natural numbers and integers, and the challenges with real number arithmetic. Gain insights into measurement, approximation, and foundational mathematical concepts.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Simons Institute

Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes

Explore policy gradient methods in Markov Decision Processes, covering optimality, approximation, and key concepts like entropy regularization and natural policy gradient.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Calculus: Single Variable Part 3 - Integration

548 ratings at Coursera

Explore integration techniques, differential equations, and the fundamental theorem of integral calculus in this advanced single-variable calculus course emphasizing conceptual understanding and applications.

• Coursera
• 17 hours
• On-Demand
• Paid Course

Approximation Algorithms and Linear Programming

56 ratings at Coursera

Explore linear and integer programming for optimal solutions in resource allocation, scheduling, and task assignment. Learn approximation algorithms for NP-hard problems with guaranteed performance bounds.

• Coursera
• 1 day 22 hours 18 minutes
• On-Demand
• Paid Course

Approximation Methods

14 ratings at Coursera

Explore quantum mechanics approximation methods, including perturbation theory and variational techniques. Gain practical skills to solve complex problems in quantum systems.

• Coursera
• 14 hours 16 minutes
• On-Demand
• Paid Course

Sums - Approximation Methods for Recurrences and Algorithms - Lecture 5

Master sum approximation techniques including perturbation, ansatz method, and integral method for recurrences, counting, probability, and algorithm analysis.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

École normale supérieure

Approximation Algorithms Part II

46 ratings at Coursera

Explore advanced approximation algorithms using linear programming duality and semidefinite programming for combinatorial optimization problems like Steiner forest, facility location, and maximum cut.

• Coursera
• 1 day 11 hours 30 minutes
• On-Demand
• Paid Course

Approximation Algorithms

33 ratings at Coursera

Explore efficient approximation techniques for NP-hard problems, learning to design and analyze algorithms that find near-optimal solutions with provable performance guarantees.

• Coursera
• 14 hours 59 minutes
• On-Demand
• Paid Course

Krista King

Applications of Derivatives - Optimization, Graph Sketching, Linear Approximation, Related Rates, and Physics Applications

Master optimization, graph sketching, related rates, and real-world applications using derivative techniques for physics, economics, and exponential models.

• YouTube
• 7 hours 42 minutes
• On-Demand
• Free Video

Asymptotics: The Art of Approximation: Wolfram U

Explore asymptotic methods for approximating complex mathematical problems using Wolfram Language, covering applications in differential equations, integrals, and infinite series.

• Wolfram U
• 23 minutes
• On-Demand
• Free Online Course

Reality and the Orbital Approximation in Freshman Organic Chemistry - Lecture 10

Explore quantum mechanics in organic chemistry, from probability density to hybrid orbitals, and the challenges of describing multi-electron systems using one-electron models.

• YouTube
• 49 minutes
• On-Demand
• Free Video