Data Labeling Courses and Certifications

Open Data Science

How to Set Up an ML Data Labeling Pipeline - Best Practices and Examples

3 reviews

Learn best practices for building ML data labeling pipelines through crowdsourcing. Explore real-life examples, requirements, and techniques for high-quality labeled data in supervised machine learning projects.

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

MLOps.community

Data Labeling Best Practices for Fine-Tuning LLMs

1 review

Discover best practices for data labeling in LLM fine-tuning. Learn strategies for hiring, data preparation, and managing labelers to enhance AI model performance.

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

Snorkel AI

Curate Training Data via Labeling Functions - 10 to 100x Faster

Accelerate data labeling for AI models using programmatic techniques. Learn to capture SME knowledge, improve label accuracy, and explore real-world use cases in banking, pharma, and healthcare.

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

Snorkel AI

How to Accelerate AI Training With Programmatic Data Labeling - Snorkel Flow Demo

Accelerate AI development with programmatic data labeling. Learn efficient knowledge capture, automated labeling, and iterative improvement techniques for enterprise AI initiatives.

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

MLCon | Machine Learning Conference

The Elusive Ground Truth - An Ongoing Journey in Data Labeling

Explore the complex journey of building data labeling processes, from solo annotation to hybrid models, while confronting subjectivity and bias challenges in ML.

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

H2O.ai

H2O Label Genie Starter Track

Master H2O Label Genie to accelerate data labeling workflows with AI-powered annotation tools for text, image, and audio data, reducing manual effort by over 50%.

• Coursera
• 1 hour 9 minutes
• On-Demand
• Paid Course

Advancing Data Aspect AI: From Efficient Data Annotation to High Quality Data Creation

Explore advanced techniques for AI data annotation and creation, focusing on efficiency improvements and quality enhancement methods for machine learning applications.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

Labeling Tools are Great, but What About Quality Checks?

Explore effective quality control strategies for data labeling in machine learning, ensuring accuracy and reliability in AI model training.

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

Data Science Festival

Efficient Labelling of Large Datasets for NLP Tasks

Explore methods for automating the labelling of large NLP datasets, from traditional Support Vector Machines to cutting-edge few and zero-shot learning techniques.

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

Toronto Machine Learning Series (TMLS)

The Importance of Data Annotation for NLP

Explore data annotation strategies for NLP tasks in retail and healthcare. Learn to streamline processes, ensure consistency, and leverage tools for efficient, high-quality dataset creation.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Bogged Down by Annotation - Why Subject Matter Experts Should Do the Heavy Lifting

Discover why subject matter experts should handle data annotation, improving efficiency and accuracy in machine learning projects.

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

Snorkel AI

Alfred: Building Training Data with Foundation Models and Weak Supervision - Snorkel AI

Streamline data labeling with Alfred, combining foundation models and weak supervision to create high-quality training datasets for academic research and machine learning projects.

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

Snorkel AI

Extracting Insights From Climate Change Research with NLP

Leverage NLP to rapidly analyze vast climate change literature, extracting key trends and insights. Scale labeling process for 600,000 research articles using Snorkel AI, enabling efficient data-driven climate risk assessment.

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

Code Sync

Data Labelling is Good for You - Building AI Training Pipelines with Elixir

Discover how to build effective data labeling pipelines in Elixir for AI applications, focusing on creating valuable domain-specific datasets and implementing practical labeling processes.

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

Association for Computing Machinery (ACM)

Labeling in Their Shoes - Improving Text Annotation with Cognitive Empathy Priming

Discover how cognitive empathy priming enhances text annotation quality and reduces bias in AI training data through innovative labeling techniques.

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