t-SNE Courses and Certifications

Unsupervised Learning in Python

81 ratings at DataCamp

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Dimensionality Reduction in Python

13 ratings at DataCamp

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Advanced Dimensionality Reduction in R

Learn how to apply advanced dimensionality techniques such as t-SNE and GLRM.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

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
• Self-Paced
• Free Trial Available

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
• Self-Paced
• 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
• Self-Paced
• Free Video

Intro to Unsupervised Machine Learning

Master unsupervised machine learning through hands-on practice with clustering, dimensionality reduction, and advanced algorithms using the Iris dataset for practical data analysis applications.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate

Text Representation Techniques for RAG Systems

Explore essential text representation techniques for RAG systems, from Bag-of-Words to embeddings, and learn how to visualize and compare these methods for effective document retrieval and semantic search.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Credential

Mastering Dimensionality Reduction with Python

Master Python-based dimensionality reduction techniques from PCA to autoencoders, learning to extract essential features from complex datasets and optimize machine learning model performance through hands-on practice.

• CodeSignal
• 15 hours
• Self-Paced
• Free Certificate
• 5 courses

Text Representation Techniques for RAG Systems with Java

Master text representation techniques for RAG systems using Java, from Bag-of-Words to embeddings, with hands-on implementation of semantic search and t-SNE visualization.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Credential

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
• Self-Paced
• Free Certificate
• 5 courses

Text Representation Techniques for RAG Systems

Master practical text representation methods for RAG systems, from Bag-of-Words to semantic embeddings, with hands-on JavaScript implementation and performance comparison techniques.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Text Representation Techniques for RAG Systems with Rust

Explore text representation methods for RAG systems using Rust, from Bag-of-Words to embeddings, with hands-on implementation and visualization techniques for semantic search.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Non-linear Dimensionality Reduction Techniques

Master t-SNE, LLE, and Kernel PCA techniques to reveal hidden patterns and reduce dimensionality in complex, high-dimensional datasets using R programming.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Non-linear Dimensionality Reduction Techniques

1 rating

Master non-linear dimensionality reduction techniques like t-SNE, LLE, and Kernel PCA to uncover hidden patterns in complex datasets through hands-on visualization and parameter tuning.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate