Overfitting Courses and Certifications

Neural Networks Demystified

In this short series, we will build and train a complete Artificial Neural Network in python.

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

Intro to Machine Learning

1 review

Learn the core ideas in machine learning, and build your first models.

• Kaggle
• 3 hours
• On-Demand
• Free Certificate

Rational Ignorance - Optimal Learning from Complex Mechanistic Models

Explore optimal Bayesian learning from complex models, challenging traditional approaches and proposing a new method to maximize expected information while avoiding bias in multiparameter systems.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

Kaggle

Intro to Machine Learning

Dive into machine learning fundamentals with engaging videos covering models, data exploration, validation, and advanced concepts like random forests and AutoML.

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

Winning a Kaggle Competition in Python

Learn how to approach and win competitions on Kaggle.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

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

Regularization of Big Neural Networks

Explore regularization techniques for large neural networks, including DropOut, DropConnect, and stochastic pooling. Learn about deconvolutional networks and their applications in computer vision tasks.

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

Machine Learning and AI Foundations: Value Estimations

248 ratings at LinkedIn Learning

Discover how to solve value estimation problems with machine learning. Learn how to build a value estimation system that can estimate the value of a home.

• LinkedIn Learning
• 1 hour 5 minutes
• On-Demand
• Free Trial Available

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

Mistakes to Avoid in Machine Learning

119 ratings at LinkedIn Learning

Learn about the common mistakes you should avoid when building your machine learning models.

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

Advanced Machine Learning with ENCOG

100 ratings at Pluralsight

In this course you will learn advanced topics related to machine learning for more accurate neural network predictive models. You will also learn different types of neural networks and their implementations using open source machine learning framework EN…

• Pluralsight
• 4 hours 11 minutes
• On-Demand
• Free Trial Available

Classification Using Tree Based Models

82 ratings at Pluralsight

Classification problems are common in all domains and tree based models are very effective solutions to these problems. This course is all about tree based models, from simple decision trees, to complex ensemble learning techniques, and more.

• Pluralsight
• 1 hour 57 minutes
• On-Demand
• Free Trial Available

Preparing Data for Machine Learning

45 ratings at Pluralsight

Learn essential techniques for data preparation, cleaning, and feature selection to optimize machine learning models. Explore strategies for handling missing data, outliers, and overfitting to improve model performance.

• Pluralsight
• 3-4 hours
• On-Demand
• Free Trial Available

Introduction to Machine Learning

33 ratings at The Great Courses Plus

Search engines. Navigation systems. Game-playing robots. Learn how smart machines got that way in this course taught by a pioneer researcher in machine learning.

• The Great Courses Plus
• 12 hours 6 minutes
• On-Demand
• Free Trial Available

Introduction to Deep Learning with PyTorch

25 ratings at DataCamp

Learn the power of deep learning in PyTorch. Build your first neural network, adjust hyperparameters, and tackle classification and regression problems.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available