Latent Dirichlet Allocation Courses and Certifications

Natural Language Processing and Capstone Assignment

30 ratings at Coursera

Explore Natural Language Processing (NLP), sentiment analysis, and data science trends in this 4-week course by University of California, Irvine. Includes a capstone assignment.

• Coursera
• 4 hours 56 minutes
• On-Demand
• Free Online Course (Audit)

Topic Modeling in R

Learn to fit topic models using the Latent Dirichlet Allocation algorithm in R, with a focus on corpus preparation, visualization, and optimal topic number determination. 4-hour course.

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

Mining Data from Text

21 ratings at Pluralsight

This course discusses text and document feature vectors that can be passed into machine learning models, topic modeling using Latent Semantic Analysis, Latent Dirichlet Allocation, Non-negative Matrix Factorization, and keyword extraction using RAKE.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Introduction to Text Analysis in R

20 ratings at DataCamp

Learn to analyze text data in R using the tidy framework. Master wrangling, visualizing text, sentiment analysis, and topic modeling in a 4-hour course.

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

Serrano.Academy

Natural Language Processing

Learn Natural Language Processing in under an hour with Serrano.Academy, focusing on Latent Dirichlet Allocation and Gibbs Sampling.

• YouTube
• 30 minutes
• On-Demand
• Free Online Course

Serrano.Academy

Unsupervised Learning

Learn Gaussian Mixture Models, Clustering, PCA, Matrix Factorization, and more in this 4-5 hour material from Serrano.Academy.

• YouTube
• 4 hours 30 minutes
• On-Demand
• Free Online Course

Serrano.Academy

Training Latent Dirichlet Allocation: Gibbs Sampling - Part 2

Learn to train an LDA model using Gibbs sampling with Serrano.Academy. This less than 1-hour material is part 2 of a series on sorting documents into topics.

• YouTube
• 27 minutes
• On-Demand
• Free Online Course

Serrano.Academy

Latent Dirichlet Allocation - Part 1

Learn Latent Dirichlet Allocation, a machine learning technique for document sorting by topic, in less than an hour with Serrano.Academy. Part 1 of 2.

• YouTube
• 27 minutes
• On-Demand
• Free Online Course

Aladdin Persson

Latent Dirichlet Allocation with Gibbs Sampling Explained

Explore Latent Dirichlet Allocation and Gibbs Sampling with Aladdin Persson in under an hour. Learn topic modelling, posterior inference, and implementation.

• YouTube
• 33 minutes
• On-Demand
• Free Online Course

Aladdin Persson

Latent Dirichlet Allocation Tutorial

Learn Latent Dirichlet Allocation with Python in less than an hour with Aladdin Persson's concise tutorial.

• YouTube
• 27 minutes
• On-Demand
• Free Online Course

Association for Computing Machinery (ACM)

Mining Controller Inputs to Understand Gameplay

Explore game analytics with ACM's short program. Learn to analyze player inputs using probabilistic models, discover gameplay types, and verify level appropriateness.

• YouTube
• 21 minutes
• On-Demand
• Conference Talk

Advanced Text Analytics: Topic Modeling and Named Entity Recognition

Learn how to use advanced topic modeling and named entity recognition (NER) for text analytics, covering the math and code behind topic modeling and NER algorithms (e.g., transformer-based) and how to integrate both in your workflows.

• Pluralsight
• 40 minutes
• On-Demand
• Free Trial Available

Alan Turing Institute

Mirrored Langevin Dynamics - Ya-Ping Hsieh

Join the Alan Turing Institute's workshop for a deep dive into the theoretical foundations of learning, focusing on statistics, probability, and optimization. Less than 1-hour workload.

• YouTube
• 39 minutes
• On-Demand
• Free Online Course

Introduction to Topic Modelling in R

Learn to load, pre-process text data, run LDA topic models, and plot topic changes over time with Coursera's R-based course.

• Coursera
• 1 hour 22 minutes
• On-Demand
• Paid Course