Regularization Courses and Certifications

An Introduction to Machine Learning in Quantitative Finance

Discover how machine learning can be used to solve financial data problems and create informative insights and predictions.

• FutureLearn
• 4 weeks, 3 hours a week
• On-Demand
• $334.00

Training Neural Networks - Part II - Lecture 11

Explore advanced neural network training techniques, including loss functions, learning rates, momentum, and strategies to prevent overfitting for improved computer vision model performance.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Machine Learning and AI Foundations: Recommendations

325 ratings at LinkedIn Learning

This project-based course shows programmers of all skill levels how to use machine learning to build programs that can make recommendations—like recommending new products.

• LinkedIn Learning
• 58 minutes
• On-Demand
• Free Trial Available

IIT Kharagpur;  NPTEL

Mathematics for Machine Learning

Explore advanced mathematical concepts essential for developing robust machine learning algorithms, including optimization, regularization, and statistical modeling techniques.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Deep Learning: Model Optimization and Tuning

208 ratings at LinkedIn Learning

Learn about various optimization and tuning options available for deep learning models and use them to improve models.

• LinkedIn Learning
• 54 minutes
• On-Demand
• Free Trial Available

Machine Learning Course for Beginners

Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.

• freeCodeCamp
• 10 hours
• On-Demand
• Free Video

Machine Learning in the Enterprise

This course encompasses a real-world practical approach to the ML Workflow: a case study approach that presents an ML team faced with several ML business requirements and use cases.

• Pluralsight
• 2 hours 13 minutes
• On-Demand
• Free Trial Available

Great Learning

Batch Normalization

Explore batch normalization in deep learning: its implementation, benefits, and impact on network performance. Learn when and how to use it effectively for improved model training.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Jeremy Howard

Practical Deep Learning for Coders 2019

Comprehensive deep learning course covering image classification, NLP, tabular data, and advanced topics. Includes hands-on coding and ethical considerations.

• YouTube
• 14 hours
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Learning with Small Data - Part 2

Explore machine learning techniques for small datasets, combining domain knowledge with ML models to enhance predictions and leverage unlabeled data for improved accuracy.

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

MITCBMM

Introduction to Optimization

Learn optimization techniques for machine learning, including likelihood estimation, gradient descent, and regularization, with practical examples and applications.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

MITCBMM

The Learning Problem and Regularization

Explore the foundations of machine learning with Prof. Poggio, covering key concepts like generalization, consistency, and regularization in solving learning problems.

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

Institute for Advanced Study

Tradeoffs Between Robustness and Accuracy - Percy Liang

Explore tradeoffs between robustness and accuracy in machine learning, covering topics like spurious correlations, regularization, and model complexity with Percy Liang.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Paul Hand

Variational Autoencoders

Explore generative models, autoencoders, and variational techniques in deep learning. Learn about architecture, optimization, and practical applications of variational autoencoders.

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

StatQuest with Josh Starmer

XGBoost Part 1 - Regression

Explore XGBoost's unique regression trees, focusing on similarity scores, gain calculation, pruning, regularization, and making predictions in this comprehensive tutorial.

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