Probabilistic Models Courses and Certifications

USC Probability and Statistics Seminar

How to Measure Differences in Rankings

Explore a generalized Mallows model framework that learns distance metrics from data to better understand ranking differences across domains like recommendations and hiring decisions.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Decoding Decision Modeling

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

• DataCamp
• 1 hour
• On-Demand
• Free Trial Available

Society for Industrial and Applied Mathematics

Essentials of Math Modeling - Session 5 - Probabilistic Models

Explore probabilistic models, including Markov chains and Metropolis-Hastings algorithm, with practical exercises and problem-solving sessions using MATLAB for mathematical modeling applications.

• YouTube
• 1 hour 49 minutes
• On-Demand
• Conference Talk

Valence Labs

Calibration and Generalizability of Probabilistic Models on Low-Data Chemical Datasets

Explore calibration and generalizability of probabilistic models on small chemical datasets. Gain insights into model selection and feature choice for molecular property prediction and design.

• YouTube
• 53 minutes
• On-Demand
• Free Video

UofU Data Science

Probabilistic Graphical Models and Mean Field Inference - Lecture 20

Dive into advanced data science concepts including local version inference, alternating updates, and mean field version updates for practical applications in graphic models and word distribution.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Wolfram

The BayesianNetwork Paclet - Graphical Probabilistic Models for Reasoning Under Uncertainty

Explore Bayesian networks for probabilistic modeling and uncertainty reasoning using Wolfram's specialized paclet for multivariate probability distributions.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Coursera

Probabilistic Graphical Models: A Compact Introduction

Master probabilistic graphical models for medical diagnosis and risk prediction with Bayesian networks, inference algorithms, and Python implementation using pgmpy.

• Coursera
• 2 hours 40 minutes
• On-Demand
• Paid Course

Microcredential

Natural Language Processing

6179 ratings at Coursera

Explore cutting-edge NLP techniques to analyze text, build language models, and create AI applications. Gain hands-on experience in sentiment analysis, machine translation, and chatbot development.

• Coursera
• 12 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Microcredential

Statistics and Data Science

Comprehensive program covering probability, statistics, data analysis, and machine learning, providing hands-on training for aspiring data scientists through rigorous MIT-quality coursework.

• edX
• 56 weeks, 10-14 hours a week
• On-Demand
• $1,500.00
• 2 courses

Microcredential

TensorFlow 2 for Deep Learning

722 ratings at Coursera

Develop practical skills in TensorFlow 2 for deep learning, covering model building, training, evaluation, customization, and probabilistic approaches using TensorFlow Probability.

• Coursera
• 12 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Practical Methodology and Ethics in AI

10 ratings at Coursera

Master practical AI methodologies while exploring ethical considerations, from model training to deployment, with emphasis on bias detection, probabilistic approaches, and creating responsible AI solutions.

• Coursera
• 6 hours 56 minutes
• On-Demand
• Paid Course

Strategic Decisions for Project Leaders: Exploiting Risk and Opportunity

Project management executives and project owners can exploit risk to their advantage and find opportunities. Learn how to leverage the decision-making tools using Bayesian thinking, utility theory, and behavioral economics.

• edX
• 5 weeks, 1-3 hours a week
• On-Demand
• Free Online Course (Audit)

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
• On-Demand
• Paid Course

Paul G. Allen School

Probabilistic Models for RNA Splicing Analysis

Exploring probabilistic models for RNA-seq data analysis, focusing on alternative splicing quantification and predicting splicing from DNA sequence to improve rare variant interpretation.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

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
• On-Demand
• Free Video