Inference Courses and Certifications

Using visualisation in maths teaching

25 ratings at OpenLearn

This free course, Using visualisation in maths teaching, looks at visualisation as it relates to mathematics, focusing on how it can be used to improve learning. It will also identify ways in which...

• OpenLearn
• 6 hours
• Self-Paced
• Free Certificate

Alan Turing Institute

From Causal Inference to Autoencoders, Memorization & Gene Regulation - Caroline Uhler, MIT

Exploring causal inference, autoencoders, and gene regulation through genomics and 3D genome organization. Integrates data modalities, analyzes overparameterized autoencoders, and links memorization to real-valued data retrieval.

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

Alan Turing Institute

Causal Inference in Observational Studies - Emma McCoy, Imperial College London

Explore causal inference in observational studies with Prof. Emma McCoy. Learn about robust estimation of treatment effects, time-series methodology, and applications in transport settings.

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

Alan Turing Institute

Integrating Inference with Stochastic Process Algebra Models - Jane Hillston, Edinburgh

Explore probabilistic programming for continuous-time systems using ProPPA, an extension of Bio-PEPA. Learn parameter inference methods and applications in biology, ecology, and urban transport.

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

Alfredo Canziani

Inference with Neural Nets

Explore neural network inference, covering mathematical foundations, data science concepts, and practical tools like PyTorch. Gain insights into advanced topics and real-world applications.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Alfredo Canziani

Self-Supervised Learning and Variational Inference

Explore self-supervised learning, variational inference, and advanced deep learning concepts with Yann LeCun. Gain insights into GANs, sparse modeling, and Variational Autoencoders (VAEs) in this comprehensive lecture.

• YouTube
• 1 hour 55 minutes
• Self-Paced
• Free Video

Simons Institute

Scalable and Reliable Inference for Probabilistic Modeling

Explore scalable and reliable inference techniques for probabilistic modeling, focusing on Metropolis-Hastings, Gibbs sampling, and stochastic gradient MCMC methods for efficient data analysis and deep learning applications.

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

Simons Institute

Composing Graphical Models with Neural Networks for Structured Representations and Fast Inference

Explore structured representations and fast inference by combining graphical models with neural networks, enhancing machine learning capabilities.

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

International Centre for Theoretical Sciences

Approximate Message Passing for Statistical Inference and Estimation by Cynthia Rush

Explore approximate message passing techniques for statistical inference and estimation, focusing on applications in machine learning and data analysis.

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

Devoxx

Var with Style - Local Variable Type Inference in Java 10

Explore Java 10's Local Variable Type Inference feature, its benefits, and best practices for using 'var' to improve code readability and quality.

• YouTube
• 50 minutes
• Self-Paced
• Conference Talk

Black Hat

I Know Where You've Been - Geo-Inference Attacks Via The Browser Cache

Explore geo-inference attacks via browser cache, revealing how websites can sniff users' locations. Learn about vulnerabilities in popular sites, impact on various browsers, and potential defenses against these privacy threats.

• YouTube
• 48 minutes
• Self-Paced
• Conference Talk

Prebuilt Docker Images for Inference in Azure Machine Learning

Explore prebuilt Docker images for inference in Azure Machine Learning, featuring a demo on deploying PyTorch models and insights on overcoming common challenges in ML workflows.

• YouTube
• 2 hours 3 minutes
• Self-Paced
• Free Video

IEEE

Membership Inference Attacks against Adversarially Robust Deep Learning Models

Explore membership inference attacks on adversarially robust deep learning models, examining the interplay between security defenses and privacy vulnerabilities in AI systems.

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

IEEE

CrypTFlow - Secure TensorFlow Inference

Secure TensorFlow inference system converting code to MPC protocols. Enables privacy-preserving machine learning on real-world neural networks with improved performance and security guarantees.

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

USENIX

GAZELLE - A Low Latency Framework for Secure Neural Network Inference

Efficient framework for secure neural network inference combining homomorphic encryption and two-party computation, outperforming existing systems in speed while preserving privacy for cloud-based machine learning.

• YouTube
• 27 minutes
• Self-Paced
• Conference Talk