Linear Approximation Courses and Certifications

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

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

TheIACR

Fast Correlation Attacks over Extension Fields, Large Unit Linear Approximation and Cryptanalysis

Explore fast correlation attacks, large-unit linear approximations, and cryptanalysis techniques for stream ciphers, focusing on SNOW 2.0 and extension field applications.

• YouTube
• 25 minutes
• On-Demand
• Conference Talk

Calculus through Data & Modeling: Applying Differentiation

60 ratings at Coursera

Apply differentiation to optimize functions, estimate complex equations, and solve real-world problems in data analysis, machine learning, and business through linear approximations and multivariable calculus techniques.

• Coursera
• 7 hours 6 minutes
• On-Demand
• Paid Course

Calculus 1A: Differentiation

Master the derivative concept, computation methods, and real-world applications in this comprehensive calculus course covering limits, geometric interpretations, and function optimization.

• MITx Online
• 14 weeks, 8-10 hours a week
• On-Demand
• Free Online Course

Differential Equations: 2x2 Systems

Explore matrix methods, graphical techniques, and modeling for 2x2 differential equation systems, from homogeneous linear to nonlinear autonomous cases.

• MITx Online
• 9 weeks, 5-8 hours a week
• On-Demand
• Free Online Course

Multivariable Calculus 1: Vectors and Derivatives

Explore multivariable calculus with vectors and derivatives, learning to visualize functions, compute partial derivatives, optimize functions with constraints, and represent linear approximations.

• MITx Online
• 15 weeks, 6 hours a week
• On-Demand
• Free Online Course

Krista King

Partial Derivatives and Multivariable Calculus

Master multivariable calculus concepts including partial derivatives, gradients, optimization, and Lagrange multipliers through comprehensive problem-solving techniques.

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

Krista King

Calculus III - Multivariable Calculus, Vector Analysis, and Differential Equations

Master multivariable calculus, vectors, and differential equations through comprehensive coverage of partial derivatives, multiple integrals, 3D geometry, and solution techniques.

• YouTube
• 1 day 6 hours 43 minutes
• On-Demand
• Free Video

Institute for Advanced Study

Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin

Explore efficient reinforcement learning with linear function approximation, covering key concepts like sample efficiency, value-based algorithms, and exploration in multi-armed bandits and linear MDPs.

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

IEEE

Near Linear Time Approximation Schemes for Clustering in Doubling Metrics

Explore efficient approximation algorithms for clustering problems in doubling metrics, focusing on near-linear time solutions and their theoretical foundations.

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

BIMSA

Approximation of Non-Linear Hyperbolic Problems and Conservation Properties

Explore advanced numerical methods for non-linear hyperbolic problems, focusing on conservation properties and flux formulations in various schemes like finite volume and discontinuous Galerkin.

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

International Centre for Theoretical Sciences

Bounded Generation of Linear Groups and Diophantine Approximation - Lecture 1

Explore Zariski-dense subgroups, number theory, and geometric applications in this lecture on bounded generation of linear groups and Diophantine approximation.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Conference GSI

Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks

Explore approximation theory for linear temporal convolutional networks, examining forward and inverse approaches to enhance understanding of network behavior and capabilities.

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

Centre for Networked Intelligence, IISc

Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation: Tail Averaging and Regularization

Delve into advanced temporal difference learning analysis, exploring tail-averaging techniques and regularization methods for improved convergence rates in reinforcement learning applications.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video