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NPTEL

An Introduction to Artificial Intelligence

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Comprehensive exploration of AI fundamentals, covering search algorithms, game theory, logic, uncertainty, Bayesian networks, and reinforcement learning, with historical context and practical applications.
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98 Lesons
1 day 8 hours
On-Demand
Free-Video
Santa Fe Institute

Mathematical and Computational Foundations for Enabling Predictive Digital Twins at Scale

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Explore mathematical foundations for scalable digital twins, focusing on probabilistic graphical models and physics-based reduced-order models in scientific and engineering applications.
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27 Lesons
1 hour 3 minutes
On-Demand
Free-Video
The Julia Programming Language

Probabilistic Inference Using Contraction of Tensor Networks

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Explore probabilistic inference using tensor networks with TensorInference.jl. Learn exact methods for complex models, optimizing contraction sequences, and leveraging GPU technology for enhanced performance.
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1 Lesons
29 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Debin: Predicting Debug Information in Stripped Binaries

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Innovative machine learning approach for predicting debug information in stripped binaries, enhancing analysis capabilities for security professionals and reverse engineers.
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15 Lesons
27 minutes
On-Demand
Free-Video
Google TechTalks

Marginal-based Methods for Differentially Private Synthetic Data - Differential Privacy for ML Series

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Explore marginal-based methods for generating differentially private synthetic data, covering mechanisms, selection algorithms, and empirical findings.
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17 Lesons
43 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Network Models for Game Theory and Economics - 2004

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Explore graph-theoretic models for game theory and economics, covering Nash equilibria, social networks, and connections to probabilistic modeling and inference.
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1 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Alan Turing Institute

Bayesian Inference by Program Verification - Joost-Pieter Katoen, RWTH Aachen University

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Explore Bayesian inference through program verification, learning how weakest precondition reasoning can be applied to exact inference and analyzing expected sampling times in Bayesian networks.
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29 Lesons
45 minutes
On-Demand
Free-Video
CIMPA UCR

Learning Gaussian DAGs from Network Data

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Descubre técnicas avanzadas para aprender DAGs gaussianos a partir de datos de red con el Dr. Oscar Hernán Madrid Padilla de UCLA.
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1 Lesons
56 minutes
On-Demand
Free-Video
Neuro Symbolic

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

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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.
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10 Lesons
44 minutes
On-Demand
Free-Video
Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

Probabilistic Networks for Modeling Complex Systems

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Explore probabilistic networks for modeling complex systems, focusing on applications in physics and interdisciplinary fields.
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1 Lesons
59 minutes
On-Demand
Free-Video
UofU Data Science

Probabilistic Machine Learning - Lecture 14

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Dive into advanced data science concepts through comprehensive lecture coverage of key theoretical and practical aspects in this graduate-level academic session.
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1 Lesons
1 hour 22 minutes
On-Demand
Free-Video
UofU Data Science

Probabilistic Graphical Models and Maximum Likelihood Estimation - Lecture 13

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Dive into probabilistic graphical models, exploring likelihood estimation, Gaussian models, and network structures while learning to analyze real-world data using conditional independence concepts.
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13 Lesons
1 hour 21 minutes
On-Demand
Free-Video
UofU Data Science

Probabilistic Machine Learning - Lecture 15

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Dive into advanced data science concepts through a comprehensive graduate-level lecture covering key theoretical foundations and practical applications in modern data analysis and machine learning.
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1 Lesons
1 hour 25 minutes
On-Demand
Free-Video
Discover AI

Monte Carlo and Bayesian Networks for AI Agent Decision Making

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Explore advanced probabilistic frameworks combining Dynamic Bayesian Networks and Monte Carlo methods to enhance AI agent decision-making in complex, high-dimensional environments through practical implementations.
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9 Lesons
32 minutes
On-Demand
Free-Video
UofU Data Science

Probabilistic Machine Learning - Lecture 21

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Dive into advanced data science concepts through comprehensive lecture coverage of key theoretical and practical aspects in this graduate-level academic session.
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1 Lesons
1 hour 19 minutes
On-Demand
Free-Video
UofU Data Science

Probabilistic Machine Learning - Lecture 24

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Dive into advanced data science concepts through comprehensive lecture coverage of key theoretical and practical aspects in this graduate-level academic session.
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1 Lesons
1 hour 19 minutes
On-Demand
Free-Video
UofU Data Science

Probabilistic Machine Learning - Lecture 18

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Dive into advanced data science concepts through comprehensive lecture coverage of key theoretical frameworks and practical applications in modern computational analysis.
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1 Lesons
1 hour 20 minutes
On-Demand
Free-Video
UofU Data Science

Probabilistic Machine Learning - Lecture 16

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Dive into advanced data science concepts through a comprehensive graduate-level lecture covering key theoretical and practical aspects of modern data analysis and machine learning techniques.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Aladdin Persson

Latent Dirichlet Allocation with Gibbs Sampling Explained

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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.
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10 Lesons
33 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Bayesian Networks for Causal Reasoning by Tavpritesh Sethi

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Explore advanced Bayesian network techniques for causal reasoning in healthcare, focusing on practical applications and interpretation of complex medical data for improved decision-making.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Bayesian Networks for Causal Reasoning II by Tavpritesh Sethi

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Explore advanced Bayesian network techniques for causal reasoning in healthcare, focusing on practical applications and interpretation of complex medical data for improved decision-making.
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1 Lesons
1 hour 42 minutes
On-Demand
Free-Video
Simons Institute

Introduction to Causal Graphical Models - Graphs, D-Separation, Do-Calculus

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Explore causal graphical models, d-separation, and do-calculus. Learn about graphs, Bayesian networks, and instrumental variables for understanding causality in complex systems.
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14 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Simons Institute

Mind Over Data - The One Thing You Know and Machines Don't

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Explore the intersection of human intuition and machine learning in causal reasoning, examining Bayesian networks, confounding factors, and real-world applications in AI and data analysis.
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18 Lesons
57 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Bayesian Networks for Causal Reasoning by Tavpritesh Sethi

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Explore advanced Bayesian network techniques for causal reasoning in healthcare, focusing on practical applications and bridging the gap between mathematical modeling and clinical problem-solving.
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1 Lesons
1 hour 27 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Bayesian Networks for Causal Reasoning - Lecture 1

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Introduction to Bayesian networks for causal reasoning in healthcare, exploring their application in analyzing clinical data and inferring patterns to improve patient outcomes and medical decision-making.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Arbitrary Tensor Network Algorithm: Theory, Methods and Applications

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Explore arbitrary tensor network algorithms for complex systems modeling, covering theory, methods, and applications in probabilistic graphical models and quantum circuit simulations.
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1 Lesons
44 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Some Problems Regarding Bayesian Networks

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Exploration of challenges in Bayesian networks, discussing structural properties, dynamics, and applications in probability theory and network science.
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1 Lesons
59 minutes
On-Demand
Free-Video
ACM SIGPLAN

Higher Order Bayesian Networks, Exactly - POPL 2024

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Explore a higher-order programming language for Bayesian networks, combining advanced techniques from linear logic, intersection types, and rewriting theory for efficient probabilistic modeling and inference.
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1 Lesons
16 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Turning Probabilistic Reasoning into Programming - 2003

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Explore IBAL, a general-purpose probabilistic modeling language encompassing various representation methods for reasoning under uncertainty.
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1 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Statistical Deobfuscation of Android Applications

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Learn techniques for statistically deobfuscating Android apps, including probabilistic graphical models and implementation strategies, to enhance app security and analysis.
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6 Lesons
27 minutes
On-Demand
Free-Video
IEEE

Spectral Independence in High-Dimensional Expanders and Applications to the Hardcore Model

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Explore spectral independence in high-dimensional expanders and its application to the hardcore model, focusing on Glauber dynamics, complexity phase transitions, and future research directions.
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10 Lesons
26 minutes
On-Demand
Free-Video
Black Hat

CrowdSource - Crowd Trained Machine Learning Model for Malware Capability Detection

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Innovative machine learning tool for automated malware capability detection, trained on web technical documents. Provides probabilistic and traceable output for rapid reverse engineering of active malware variants.
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36 Lesons
29 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

Deep Probabilistic Modelling with Pyro

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Explore deep probabilistic modeling with Pyro, combining probabilistic methods and neural networks for better uncertainty handling and decision-making in machine learning applications.
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27 Lesons
33 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

Vulnerability Assessment of Substation Using Bayesian Attack Graph

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Explore advanced techniques for assessing substation vulnerabilities through Bayesian attack graphs, focusing on network security and risk analysis methodologies in power infrastructure.
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1 Lesons
10 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Revisiting Bayesian Network Learning with Small Vertex Cover

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Explore Bayesian network structure learning with bounded vertex cover, analyzing complexity bounds and hardness results for optimization and counting problems.
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1 Lesons
23 minutes
On-Demand
Free-Video
USENIX

Fast Inference for Probabilistic Graphical Models

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Innovative system for efficient probabilistic graphical model inference, offering significant speedup through optimized memory management, parallelization, and flexible integration with sampling algorithms.
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1 Lesons
18 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Structure Learning Using Benchpress - UAI 2023 Tutorial

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Explore Benchpress, a scalable workflow for structure learning in probabilistic graphical models. Learn to run, develop, and benchmark algorithms for causal discovery and data-generating mechanisms.
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1 Lesons
58 minutes
On-Demand
Free-Video
Neuro Symbolic

Probabilistic Circuits - Lecture on Advanced AI Techniques

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Explore probabilistic circuits with YooJung Choi, delving into advanced AI concepts at the intersection of symbolic methods and deep learning.
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1 Lesons
38 minutes
On-Demand
Free-Video
VinAI

A View in Old and New Machine Learning

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Explore old and new machine learning approaches, comparing hierarchical probabilistic models with deep neural networks and examining their unique capabilities and potential combinations.
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1 Lesons
1 hour 33 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

New Machine Learning Tools for Structured Prediction - 2012

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Explore advanced machine learning techniques for structured prediction in NLP and social network analysis, focusing on Markov Random Fields and risk minimization approaches.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Probabilistic Models of Relational Domains

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Explore probabilistic models for relational domains with Stanford's Daphne Koller, covering advanced techniques for representing and reasoning about complex, interconnected data structures.
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1 Lesons
1 hour 28 minutes
On-Demand
Free-Video
Probabilistic AI School

Probabilistic Circuits

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Explore probabilistic circuits with Antonio Vergari, covering foundational concepts and advanced applications in AI and machine learning.
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1 Lesons
2 hours 36 minutes
On-Demand
Free-Video
Probabilistic AI School

Introduction to Probabilistic Models - Probabilistic AI School

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Explore probabilistic models, their applications, and fundamental concepts in this comprehensive introduction by Silja Renooij at the Nordic Probabilistic AI School.
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1 Lesons
2 hours 10 minutes
On-Demand
Free-Video
Probabilistic AI School

Introduction to Probabilistic Models - Lecture 1

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Explore probabilistic models, their applications, and fundamental concepts in this comprehensive introduction by Silja Renooij at the Nordic Probabilistic AI School.
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1 Lesons
2 hours 11 minutes
On-Demand
Free-Video
Schmid College, Chapman University

How to Benefit from Uncertainty: An Introduction to Paraconsistent Bayesian Update

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Explore how paraconsistent and paracomplete logics enhance Bayesian reasoning, offering new approaches to handle contradictory evidence and uncertainty in scientific and AI applications.
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1 Lesons
1 hour 53 minutes
On-Demand
Free-Video