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#UMAP

Showing: 11 courses
Bioinformagician

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

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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.
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14 Lesons
34 minutes
On-Demand
Free-Video
LiquidBrain Bioinformatics

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

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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.
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7 Lesons
23 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Practical Clustering and Topological Data Analysis

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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.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Roboflow

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

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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.
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7 Lesons
21 minutes
On-Demand
Free-Video
Discover AI

Dimensional Reduction Using PaCMAP: From High-Dimensional Data to Vector Spaces - MNIST Case Study

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Explore dimensional reduction using PaCMAP algorithm, from basic implementation to advanced applications with MNIST datasets, featuring hands-on Python coding in Colab notebooks.
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5 Lesons
14 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Dimension Reduction - An Overview

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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.
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1 Lesons
57 minutes
On-Demand
Free-Video
Yacine Mahdid

Img2Vec and UMAP for High-Dimensional Data Visualization

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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.
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10 Lesons
50 minutes
On-Demand
Free-Video
MLOps.community

Monitoring LLMs in Production: Beyond the Hype - Part 2

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Explore techniques for monitoring and measuring drift in unstructured data models, focusing on vector/embedding drift for image and language models in production environments.
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1 Lesons
17 minutes
On-Demand
Free-Video
James Briggs

BERTopic Explained

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Explore BERTopic, an advanced topic modeling technique using transformers, UMAP, and HDBSCAN. Learn its components, implementation, and customization for organizing unstructured text data effectively.
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11 Lesons
45 minutes
On-Demand
Free-Video
MLOps.community

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

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Explore techniques for structuring and visualizing unstructured data in machine learning, from classification to Retrieval-Augmented Generation, using tools like UMAP and Renumics Spotlight to uncover patterns and evaluate model performance.
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20 Lesons
51 minutes
On-Demand
Free-Video
Roboflow

Football AI Tutorial: From Basics to Advanced Stats with Python

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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.
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15 Lesons
1 hour 30 minutes
On-Demand
Free-Video