Regularization Courses and Certifications

Richard McElreath

Statistical Rethinking 2023 - Fitting Over & Under

Explore advanced statistical concepts including cross-validation, regularization, and robust regression to enhance model fitting and selection techniques in data analysis.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Simons Institute

Discrepancy Minimization via Regularization

Explore a novel algorithmic framework for discrepancy minimization, reinterpreting key breakthroughs and proving conjectures for pseudorandom instances through regularization techniques.

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

ICTP-SAIFR

Issues Related to Regularizing Thermo and Magnetic Contributions within Nonrenormalizable Theories

Explore regularization challenges in thermo and magnetic contributions for nonrenormalizable theories in strongly interacting matter.

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

Learn to improve machine learning model performance on new data using regularization techniques like ridge and lasso, minimizing overfitting and understanding the bias-variance tradeoff.

• Codecademy
• 2 hours
• On-Demand
• Free Trial Available

Data Science: Machine Learning

90 ratings at edX

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

• edX
• 8 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Data Analysis and Visualization

This course will introduce students to the field by covering state­-of-­the-art modeling, analysis and visualization techniques.

• Udacity
• 16 weeks
• On-Demand
• Free Online Course

Introduction to Deep Learning

Explore foundational deep learning theory and practice, covering key algorithms, architectures, and implementation in PyTorch. Develop skills to design and train neural networks for real-world applications.

• Udacity
• 4 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Diving Deep into Regression

Master advanced regression techniques from polynomial to elastic net, with hands-on practice using real datasets for predictive modeling and performance optimization.

• CodeSignal
• On-Demand
• Free Certificate

Model Evaluation and Optimization

Master advanced techniques for evaluating and optimizing regression models, from cross-validation to hyperparameter tuning and regularization methods for enhanced predictive accuracy.

• CodeSignal
• On-Demand
• Free Certificate

TensorFlow Techniques for Model Optimization

Master advanced TensorFlow optimization techniques, from regularization and dropout implementation to callback utilization and Scikit-Learn integration, enhancing model performance and preventing overfitting.

• CodeSignal
• On-Demand
• Free Certificate

PyTorch Techniques for Model Optimization

Master advanced PyTorch optimization techniques including regularization, dropout, batch normalization, and learning rate scheduling to enhance model performance and prevent overfitting.

• CodeSignal
• On-Demand
• Free Certificate

Intro to Model Optimization in Machine Learning

Master machine learning optimization techniques using real medical data, from hyperparameter tuning to advanced ensemble methods, enhancing your ability to build accurate predictive models.

• CodeSignal
• On-Demand
• Free Certificate

Microcredential

Comprehensive Introduction to Tensorflow

Master TensorFlow fundamentals through hands-on practice, from basic tensor operations to advanced neural networks, model optimization, and deployment techniques for building efficient deep learning solutions.

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

Microcredential

Comprehensive Introduction to PyTorch

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
• On-Demand
• Free Certificate
• 4 courses

Mastering Neural Networks and Model Regularization

Dive deep into neural networks, from perceptrons to CNNs. Build models from scratch, master regularization techniques, and apply PyTorch for image and audio processing tasks.

• Coursera
• 16 hours 3 minutes
• On-Demand
• Free Online Course (Audit)