Overfitting Courses and Certifications

Association for Computing Machinery (ACM)

Does Learning Require Memorization? A Short Tale About a Long Tail

Explore the relationship between learning and memorization in machine learning, focusing on dataset fitting, interpolation, and long-tailed data distribution challenges.

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

Valerio Velardo - The Sound of AI

Solving Overfitting in Neural Networks

Learn techniques to identify and prevent overfitting in neural networks, including early stopping, audio data augmentation, dropout, and L1/L2 regularization, with practical implementation in a music genre classifier.

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

Richard McElreath

Statistical Rethinking 2022 - Overfitting

Explore overfitting in statistical modeling, covering cross-validation, regularization, information criteria, and robust regression techniques for improved predictive accuracy.

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

Practical Machine Learning

27 reviews

Learn essential machine learning concepts and techniques, from data collection to model evaluation, with hands-on practice using popular algorithms and the caret package in R.

• Coursera
• 8-9 hours
• On-Demand
• Free Online Course (Audit)

fast.ai

Practical Deep Learning For Coders

7 reviews

Learn how to get a GPU server online suitable for deep learning— to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.

• Independent
• 7 weeks, 10 hours a week
• On-Demand
• Free Online Course

Data Analytics Foundations for Accountancy II

10 ratings at Coursera

Explore machine learning concepts, algorithms, and practical applications in data analytics using Python. Gain skills in classification, regression, clustering, and anomaly detection for business insights.

• Coursera
• 2 days 22 hours 11 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Predictive Modeling

105 ratings at Coursera

Learn predictive modeling with linear regression and time series forecasting using Excel. Gain practical skills in data preparation, model fitting, interpretation, and forecasting for real-world decision-making.

• Coursera
• 12 hours 22 minutes
• On-Demand
• Free Online Course (Audit)

AI skills for Engineers: Supervised Machine Learning

Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems using the Python toolbox scikit-learn.

• edX
• 6 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

Population Health: Predictive Analytics

23 ratings at Coursera

Learn to develop and assess accurate prediction models for healthcare decision-making, covering study design, modeling techniques, and validation methods to improve preventive measures and individualized treatments.

• Coursera
• 22 hours 10 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

64 ratings at Coursera

Explore machine learning's technical aspects, from foundational principles to advanced methods. Learn to avoid pitfalls, interpret models, and evaluate performance while gaining insights into cutting-edge techniques and ethical considerations.

• Coursera
• 17 hours 26 minutes
• On-Demand
• Free Online Course (Audit)

Neural Networks and Random Forests

Explore advanced AI techniques: neural networks and random forests. Learn structure, coding, and applications. Complete projects on heart disease prediction and patient similarity analysis.

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

Master Machine Learning , Deep Learning with Python

120 ratings at Udemy

Complete course covering fundamentals of Machine learning , Deep learning with Python code

• Udemy
• 5 hours
• On-Demand
• Paid Course

Alberta Machine Intelligence Institute

Data for Machine Learning

97 ratings at Coursera

Develop skills to prepare, engineer, and validate data for machine learning models. Learn to identify biases, improve generality, and enhance model accuracy through thoughtful feature engineering.

• Coursera
• 11 hours 53 minutes
• On-Demand
• Free Online Course (Audit)

Deep Learning with PyTorch

Advance your deep learning skills with PyTorch, covering neural networks, convolutional architectures, and advanced techniques through hands-on exercises and a final CNN project.

• Coursera
• 19 hours 52 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning Course

Comprehensive exploration of machine learning fundamentals, covering linear models, neural networks, SVMs, and key principles for effective algorithm implementation and evaluation.

• YouTube
• 1 day
• On-Demand
• Free Video