Class Imbalances Courses and Certifications

Machine Learning in Production

3077 ratings at Coursera

Build intuition for end-to-end ML production systems, covering project scoping, data needs, modeling strategies, and deployment patterns. Learn to address challenges like concept drift and error analysis.

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

AI Workflow: Feature Engineering and Bias Detection

69 ratings at Coursera

Learn feature engineering, bias detection, and unsupervised learning techniques for AI workflows. Gain skills in handling class imbalances, dimension reduction, and data visualization for effective pattern recognition and data mining.

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

Predict probabilities of class membership using Logistic Regression. Implement, evaluate, and interpret models for classification tasks like disease identification and customer conversion.

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

Machine Learning

Explore machine learning models through hands-on tutorials in Python and Julia, covering clustering, regression, neural networks, and more. Practical examples with code provided.

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

Julia Silge

Class Imbalance and Classification Metrics With Aircraft Wildlife Strikes

Explore how handling class imbalance affects classification metrics using aircraft wildlife strike data, with focus on sensitivity and specificity in predictive modeling.

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

Alexander Amini;  MIT

AI Bias and Fairness

Comprehensive exploration of AI bias and fairness, covering types, sources, and mitigation strategies. Examines interpretation-driven and data-driven biases, feature bias, and advanced debiasing techniques for ethical AI development.

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

Julia Silge

Build a Predictive Text Model for Avatar: The Last Airbender with Tidymodels

Predict Avatar: The Last Airbender speakers using text features and tidymodels in R. Learn model-agnostic variable importance and handle class imbalance in this data analysis tutorial.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

HuggingFace

Simple Training with the Transformers Trainer

Learn to train and fine-tune Transformer models using the Trainer API, covering tokenization, class balance, and practical implementation techniques.

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

NDC Conferences

Garbage Data In, Garbage Models Out - How to Select the Right Data for Robust Machine Learning

Explore common pitfalls in creating datasets for machine learning, learn to select appropriate data, and design experiments for robust models that generalize well to new information.

• YouTube
• 46 minutes
• On-Demand
• Conference Talk

Alexander Amini

Trustworthy Deep Learning

Explore robust and trustworthy deep learning, covering algorithmic bias, uncertainty estimation, and innovative approaches to create risk-aware AI systems for more reliable and ethical machine learning applications.

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

Open Data Science

Robustness to Adversarial Inputs and Tail Risk via Boosting - Machine Learning Model Defense Strategies

Explore innovative strategies for robust machine learning models against adversarial inputs and tail risks, focusing on ensemble methods and risk-sensitive decision-making in high-stakes environments.

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

TheIACR

The Curse of Class Imbalance and Conflicting Metrics with Machine Learning for Side-channel Evaluation

Explore machine learning challenges in side-channel analysis, focusing on class imbalance and conflicting metrics. Learn strategies to address these issues in cryptographic hardware evaluation.

• YouTube
• 21 minutes
• On-Demand
• Conference Talk

Cloud Security Alliance

Machine Learning for Threat Classification: Addressing Class Imbalance and Explainability

Explore techniques for class imbalance, explainability, and best practices in machine learning for threat classification modeling.

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

Data Con LA

Predicting Rare Events Using Ordinal Regression - From Purchases to Diseases

Dive into advanced ordinal regression techniques for predicting rare events like purchases and diseases, with practical examples and implementation guidance.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 1.3 Validação e preparação de dados para modelagem (Português) | AWS ML Engineer Associate 1.3 Validate Data and Prepare for Modeling (Portuguese)

Estratégias de validação e preparação de dados para machine learning, incluindo redução de viés, segurança, divisão de conjuntos e configuração para treinamento de modelos usando serviços AWS.

• AWS Skill Builder
• 45 minutes
• On-Demand
• Paid Course