Probabilistic Models Courses and Certifications

Machine Learning for Personalized Healthcare - Opportunities, Challenges and Insights

Explore machine learning's impact on personalized healthcare, from disease subtyping to tailored interventions, with insights on mental health, respiratory diseases, and critical care settings.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

Mining Data from Variable Dependencies

15 ratings at Pluralsight

This course will teach you several models like Bayesian Networks, LBP, Variable Elimination, etc. with the help of which you can derive complex relationships across multiple input variables or features.

• Pluralsight
• 1 hour 59 minutes
• On-Demand
• Free Trial Available

Yannic Kilcher

Diffusion Models Beat GANs on Image Synthesis - Machine Learning Research Paper Explained

Explore how Diffusion Models outperform GANs in image synthesis, with improved architecture, classifier guidance, and better sample quality while maintaining distribution coverage.

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

Paul G. Allen School

Towards Generalization of Precise Robot Skills - Accurate Pick-and-Place of Novel Objects

Explore precise robotic generalization for pick-and-place tasks using simulation-learned models. Discover how visuo-tactile sensing enables accurate object manipulation and placement with sub-millimeter precision for novel items.

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

Applied Algebraic Topology Network

From Large to Infinite Random Simplicial Complexes

Explore two models of random simplicial complexes extending the Erdos-Renyi model, examining their Alexander duality relation and the unique infinite Rado simplicial complex.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Alan Turing Institute

A Probabilistic Approach for Situation Awareness and Forecasting of COVID-19 in Norway

Explore a probabilistic model for regional COVID-19 transmission using mobile data and epidemiological time series, with insights on its practical application in Norway's pandemic management.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

PyCon US

Magical NumPy with JAX

Explore JAX's NumPy-compatible API for performant numerical modeling and gradient-based optimization. Learn functional programming, deterministic random number generation, and neural network integration.

• YouTube
• 2 hours 24 minutes
• On-Demand
• Conference Talk

Prodramp

Diffusion Models - Google Colab Experimentation with Code and Prebuilt Models - Part 2

Hands-on exploration of Diffusion Models using Google Colab, covering probabilistic implementations and prebuilt models. Includes code examples and practical demonstrations of the denoising process.

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

Alfredo Canziani

Joint Embedding Method and Latent Variable Energy Based Models

Explore joint embedding methods and latent variable energy-based models with Yann LeCun. Learn about predictive systems, inference, probabilistic models, and various training techniques for advanced machine learning applications.

• YouTube
• 1 hour 52 minutes
• On-Demand
• Free Video

Alfredo Canziani

Energy Based Models and Self-Supervised Learning

Explore energy-based models, latent variables, and self-supervised learning. Dive into EBM training, inference, and comparison with probabilistic models. Discover contrastive methods and applications like K-means and BERT.

• YouTube
• 1 hour 37 minutes
• On-Demand
• Free Video

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

ChariotSolutions

Machine Learning: From ABCs to DEFs

Explore machine learning fundamentals, from basic concepts to practical applications, focusing on people, data, and code. Learn to build simple AI models and understand key ML principles.

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

Graham Neubig

Neural Nets for NLP 2020 - Search-Based Structured Prediction

Learn search-based structured prediction techniques for NLP, including structured perceptron, max-margin objectives, and exposure bias remedies. Explore global models and cost-augmented training for improved sequence prediction.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Simons Institute

Marginal Determinism in Structured Decomposable Circuits

Explores marginal determinism in probabilistic circuits, introducing md-vtrees for structured decomposable PCs. Discusses tractability conditions, efficient algorithms, and applications to causal inference queries like backdoor adjustment.

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

Simons Institute

The Rise of Tractable Circuits - From Cryptography to Continuous Generative Models

Exploring tractable circuits' applications in cryptography and continuous generative models, showcasing advancements in neuro-symbolic approaches and probabilistic inference for AI reasoning.

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