Regularization Courses and Certifications

Data Science Courses

Deep Learning - Regularization Techniques - Lecture 4

Dive into advanced regularization techniques for deep learning, covering weight decay, early stopping, and noise injection methods to enhance model performance and prevent overfitting.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Video

Institut Henri Poincaré

Structured Regularization Summer School 2017

Dive into advanced mathematical techniques for structured regularization through expert lectures covering optimization, machine learning, and signal processing applications.

• YouTube
• 22 hours 32 minutes
• On-Demand
• Free Video

Microcredential

Comprehensive Introduction to PyTorch

194 ratings at CodeSignal

Master PyTorch fundamentals through hands-on exercises, progressing from tensor basics to advanced neural networks and model optimization techniques using real-world datasets like wine classification.

• CodeSignal
• 11 hours
• On-Demand
• Free Certificate
• 4 courses

Hausdorff Center for Mathematics

Regularization by Noise for the Stochastic Transport Equation

Explore regularization by noise for stochastic transport equations, focusing on uniqueness and regularity of solutions under different drift conditions and the impact of Brownian motion.

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

Society for Industrial and Applied Mathematics

Optimal Transport for Inverse Problems and Implicit Regularization

Exploring optimal transport theory for inverse problems, addressing nonconvexity and noise sensitivity in least-squares methods, with applications in industry and broader data-fitting challenges.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

BIMSA

Critical Phenomena from the Perspective of Fuzzy Sphere Regularization - ICBS 2024

Explore critical phenomena and phase transitions using fuzzy sphere regularization, focusing on 3D Ising model and conformal field theory applications.

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

Society for Industrial and Applied Mathematics

Adaptive Regularization and Linearization for Nonsmooth and Degenerate Problems

Explore advanced mathematical techniques for solving nonsmooth and degenerate problems in flow and transport, focusing on adaptive regularization methods and Newton-based linearization approaches.

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

INI Seminar Room 2

Memorization and Regularization in Generative Diffusion Models

Explore the concepts of memorization and regularization in generative diffusion models with Professor Andrew Stuart from Caltech in this insightful seminar.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Video

INI Seminar Room 2

Memorization and Regularization in Generative Diffusion Models

Explore the mathematical foundations of generative diffusion models with Prof. Andrew Stuart, examining memorization and regularization techniques to understand their impact on model performance and data privacy.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Harvard CMSA

Implicit Regularization via Uniform Convergence in Linear Models and Kernel Methods

Explore the statistical analysis of mirror descent algorithms and their convergence properties in machine learning, focusing on early-stopped methods and uniform learning theory applications.

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

BIMSA

Regularization, Heuristics, and Strategy - A Long Journey Towards Understanding a Few Fundamental yet Fuzzy Concepts in Computing

Explore fundamental computing concepts through regularization, heuristics, and strategy in this insightful 57-minute academic presentation by Shanghua Teng.

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

Simons Foundation

Regularization and Convergence of the Near-Axis Expansion

Dive into the numerical analysis of the near-axis expansion for stellarator configurations, exploring regularization techniques that ensure convergence and examining the relationship between radius of convergence and axis-coil distance.

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

Institute for Pure & Applied Mathematics (IPAM)

Quantum Optimal Transport: Regularization and Algorithms - Part 1

Dive into quantum optimal transport theory with Augusto Gerolin, exploring regularization techniques and algorithms in this comprehensive tutorial from IPAM's Non-commutative Optimal Transport series.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Overfitting: Benign, Tempered and Harmful - Lecture on Machine Learning Regularization

Explore the nuanced understanding of overfitting in neural networks, examining benign, tempered, and harmful effects on model performance based on data properties and training conditions.

• YouTube
• 51 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