UMAP Courses and Certifications

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

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

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

Applied Algebraic Topology Network

Practical Clustering and Topological Data Analysis

Explore clustering algorithms and topological data analysis from a data science perspective, covering techniques from k-means to DBSCAN and dimensionality reduction methods like UMAP.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Applied Algebraic Topology Network

Dimension Reduction - An Overview

Comprehensive overview of dimension reduction techniques, from linear methods like PCA to nonlinear approaches such as LLE, Isomap, t-SNE, and UMAP, with practical application to chemical reaction data.

• YouTube
• 57 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

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

MLOps.community

Visualize - Bringing Structure to Unstructured Data - MLOps Podcast #258

Explore data visualization techniques for unstructured data in machine learning, including embeddings, UMAP, and tools like Renumics Spotlight to uncover patterns and evaluate model performance across various data types.

• YouTube
• 51 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

MLOps.community

Monitoring LLMs in Production: Beyond the Hype - Part 2

Explora técnicas para medir la deriva de vectores/incrustaciones en modelos de lenguaje e imagen, incluyendo enfoques como distancia euclidiana y coseno, y métodos para detectar y comprender diferencias entre conjuntos de datos.

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