Probabilistic Models Courses and Certifications

Machine Learning Fundamentals

Discover supervised machine learning fundamentals, from linear regression to classification models, regularization techniques, and performance evaluation using ROC curves.

• Coursera
• 1 day 10 hours 7 minutes
• Self-Paced
• Paid Course

EDUCBA

Credit Derivatives: Analyze, Price & Apply

Master credit derivatives through structured finance fundamentals, CDS mechanics, pricing models, and advanced instruments like credit-linked notes for risk management.

• Coursera
• 9 hours 2 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

Probabilistic Systems Analysis and Applied Probability

This course introduces students to the modeling, quantification, and analysis of uncertainty.

• MIT OpenCourseWare
• 32 hours
• Self-Paced
• Free Video

Control of Manufacturing Processes (SMA 6303)

Explore statistical modeling and control in manufacturing, covering experimental design, yield optimization, and various control methods for semiconductor, metal, polymer, and micro-nano processes.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Data Science Courses

Denoising Diffusion Probabilistic Models and Generative Moment Matching Networks - Lecture 17

Delve into diffusion models and DDPMs, exploring progressive data refinement techniques and generative moment matching networks using Maximum Mean Discrepancy for distribution analysis.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Vertex Models - Algebraic and Probabilistic Aspects of Universality 2024

Explore vertex models through algebraic and probabilistic methods, covering integrable statistical mechanics, quantum groups, and universal phenomena like KPZ behavior and limit shapes.

• YouTube
• 18 hours 20 minutes
• Self-Paced
• Free Video

Neuro Symbolic

Markov Random Fields, Markov Chains, and Markov Logic Networks - Probabilistic Graphical Models Tutorial

1 rating

Explore Markov Random Fields, Logic Networks, and Chains. Dive into probabilistic graphical models with Professor Simari, covering key concepts and applications in AI and machine learning.

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

How to Measure Anything in Cybersecurity Risk with Open FAIR

207 ratings at Udemy

Learn risk measurement and quantification using the Open FAIR model for unparalleled risk measurement and quantification

• Udemy
• 1 hour 43 minutes
• Self-Paced
• Paid Course

Probabilistic Topic Models and User Behavior

Explore latent thematic structures in document collections and user behavior data. Learn how topic modeling algorithms can enhance predictions and understanding of collection organization.

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

UofU Data Science

Probabilistic Graphical Models and Maximum Likelihood Estimation - Lecture 13

Dive into probabilistic graphical models, exploring likelihood estimation, Gaussian models, and network structures while learning to analyze real-world data using conditional independence concepts.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

Explore advanced probabilistic inference techniques for Large Language Models using Sequential Monte Carlo methods, focusing on safety, capability enhancement, and evaluation frameworks.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Valence Labs

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

Explore advanced probabilistic inference techniques for language models using Twisted Sequential Monte Carlo, enhancing LLM capabilities and safety measures.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

USENIX

Fast Inference for Probabilistic Graphical Models

Innovative system for efficient probabilistic graphical model inference, offering significant speedup through optimized memory management, parallelization, and flexible integration with sampling algorithms.

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

DataLearning@ICL

Probabilistic Circuits: Deep Probabilistic Models with Tractable Inference

Explore probabilistic circuits as deep models for efficient reasoning under uncertainty, examining their structural properties and connections to neuro-symbolic AI.

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