Latent Dirichlet Allocation Courses and Certifications

Aladdin Persson

Latent Dirichlet Allocation Tutorial

Explore Latent Dirichlet Allocation in Python: Learn to implement this powerful topic modeling technique for text analysis and document classification.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Alan Turing Institute

Mirrored Langevin Dynamics - Ya-Ping Hsieh

Explore posterior sampling in constrained distributions, focusing on Latent Dirichlet Allocation. Learn about a unified framework for deriving novel sampling schemes with improved convergence rates.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Serrano.Academy

Training Latent Dirichlet Allocation: Gibbs Sampling - Part 2

Explore Gibbs sampling for training Latent Dirichlet Allocation models, learning to sort documents into topics efficiently through practical exercises and in-depth explanations.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Serrano.Academy

Latent Dirichlet Allocation - Part 1

Explore Latent Dirichlet Allocation, a powerful machine learning technique for sorting documents by topic. Learn its principles, applications, and implementation in this comprehensive tutorial.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Introduction to Text Analysis in R

22 ratings at DataCamp

Learn to analyze text data using R's tidy framework. Covers wrangling, visualization, sentiment analysis, and topic modeling techniques for extracting insights from various text sources like social media and product reviews.

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

Topic Modeling in R

Learn how to fit topic models using the Latent Dirichlet Allocation algorithm.

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

Aladdin Persson

Latent Dirichlet Allocation with Gibbs Sampling Explained

Comprehensive explanation of Latent Dirichlet Allocation (LDA) with Gibbs Sampling, covering topic modeling, posterior inference, and implementation details. Ideal for those interested in understanding this classic machine learning technique.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Natural Language Processing and Capstone Assignment

50 ratings at Coursera

Explore natural language processing, sentiment analysis, topic modeling, and emerging trends in data science. Apply learned techniques to develop a comprehensive data analytics plan.

• Coursera
• 4 hours 56 minutes
• Self-Paced
• Paid Course

Intro to Natural Language Processing (NLP) in Python for AI

1826 ratings at Udemy

Learn the NLP Technology Behind AI Tools Like ChatGPT: Understanding, Generating, and Classifying Human Language

• Udemy
• 3 hours 41 minutes
• Self-Paced
• Paid Course

Packt

Natural Language Processing - Probability Models in Python

Master probability-based NLP techniques in Python, from spam detection and sentiment analysis to text summarization and topic modeling, with hands-on implementation of algorithms like Naive Bayes, LDA, and TextRank.

• Coursera
• 6 hours 52 minutes
• Self-Paced
• Paid Course

Python Tutorials for Digital Humanities

Topic Modeling and Text Classification with Python for Digital Humanities

Discover topic modeling and text classification techniques using Python libraries like Scikit-Learn, Gensim, and spaCy for digital humanities research and analysis.

• YouTube
• 3 hours 58 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Scalable Topic Models

Discover scalable topic modeling techniques for analyzing large text collections with advanced machine learning approaches from Princeton's David Blei.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

When Topic Models Go Bad - Diagnosing and Improving Models for Exploring Large Datasets

Discover how to diagnose and improve topic models for exploring large datasets, addressing common pitfalls and enhancing model performance in natural language processing.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Association for Computing Machinery (ACM)

Mining Controller Inputs to Understand Gameplay

Innovative approach using probabilistic topic models to analyze controller inputs, revealing gameplay patterns and player-independent action types in video games.

• YouTube
• 21 minutes
• Self-Paced
• Conference Talk

Serrano.Academy

Natural Language Processing

Explore Latent Dirichlet Allocation through a two-part series, covering its fundamentals and training using Gibbs Sampling.

• YouTube
• 30 minutes
• Self-Paced
• Free Video