UMAP Courses and Certifications

AI Engineer

Surfacing Semantic Orthogonality Across Model Safety Benchmarks - A Multi-Dimensional Analysis

Explore semantic clustering analysis of AI safety benchmarks, revealing distinct harm categories and coverage gaps across five open-source datasets using UMAP and k-means clustering techniques.

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

Dimensionality Reduction in R

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

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

Roboflow

CLIP, T-SNE, and UMAP - Master Image Embeddings and Vector Analysis

Master image embeddings and vector analysis techniques like CLIP, T-SNE, and UMAP. Learn to cluster MNIST images, detect duplicates, and explore essential concepts in computer vision and data science through hands-on practice.

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

Yacine Mahdid

Img2Vec and UMAP for High-Dimensional Data Visualization

Learn to visualize high-dimensional image data using Img2Vec for embeddings, UMAP for dimensionality reduction, and Bokeh for interactive exploration. Ideal for vision classification projects.

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

DigitalSreeni

Advanced Dimensionality Reduction - t-SNE vs UMAP vs PCA Deep Dive

Master non-linear dimensionality reduction with t-SNE and UMAP for complex data visualization, including parameter tuning and Python implementation using breast cancer classification.

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

Microcredential

Mastering Dimensionality Reduction with R

Discover how to simplify complex data using PCA, linear/non-linear techniques, autoencoders, and feature selection in R for enhanced machine learning performance.

• CodeSignal
• 15 hours
• On-Demand
• Free Certificate
• 5 courses

Coursera

Advanced Machine Learning Techniques

Master ensemble methods, dimensionality reduction, NLP, reinforcement learning, and AutoML using industry-standard tools like Scikit-learn, XGBoost, and PyTorch for real-world AI applications.

• Coursera
• 1 day 9 hours 42 minutes
• On-Demand
• Paid Course

Coursera

Validate LLM Embeddings for Production Use

Master validation and deployment of embedding models for production semantic search systems using FAISS, UMAP, and systematic evaluation techniques.

• Coursera
• 4 hours 18 minutes
• On-Demand
• Paid Course

James Briggs

BERTopic Explained

Explore BERTopic, an advanced topic modeling technique using transformers, UMAP, and HDBSCAN. Learn its components, implementation, and customization for organizing unstructured text data effectively.

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

Bioinformagician

Integrate Single-Cell RNA-Seq Datasets in R Using Seurat - Detailed Seurat Workflow Tutorial

Comprehensive tutorial on integrating single-cell RNA-Seq datasets using Seurat in R, covering data merging, batch effect correction, and visualization techniques for improved analysis.

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

LiquidBrain Bioinformatics

Clustering and Markers Identification for ScRNA-Seq - Seurat Package Tutorial

Learn to analyze single-cell RNA-seq data using Seurat package, covering data import, QC, normalization, clustering, and marker identification. Gain insights into cell interactions and create visualizations.

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

Roboflow

Football AI Tutorial: From Basics to Advanced Stats with Python

Learn to build an AI system for advanced football analytics using computer vision and machine learning. Covers player tracking, team identification, and stats calculation like ball possession and speed.

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

Artem Kirsanov

How Your Brain Chooses What to Remember - Understanding Memory Selection and Sharp-Wave Ripples

Discover how your brain selects and consolidates memories through hippocampal sharp-wave ripples, exploring neural mechanisms and experimental findings in memory formation and retention.

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

MLOps.community

Monitoring LLMs in Production: Beyond the Hype - Part 2

Explore techniques for monitoring and measuring drift in unstructured data models, focusing on vector/embedding drift for image and language models in production environments.

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

AI Engineer

The Hidden Life of Embeddings - Visualizing, Manipulating, and Interpreting Text Embeddings

Explore advanced techniques for visualizing, manipulating, and interpreting text embeddings beyond vector search, including t-SNE, UMAP, PCA, and novel tools for understanding embedding features.

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