Inference Courses and Certifications

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

International Centre for Theoretical Sciences

Statistical Physics and Statistical Inference - Lecture 2

Explore statistical physics and inference, covering Bayesian methods, error correction, spin glasses, and advanced algorithms like belief propagation. Gain insights into phase transitions and applications in machine learning.

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

Yannic Kilcher

Automated Inference on Criminality Using Face Images

Critical analysis of a controversial facial recognition study, exploring ethical concerns and methodological flaws in attempts to predict criminality from facial features.

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

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

Simons Institute

Kernel Methods for Causal Inference

Explore kernel ridge regression for causal inference, covering dose responses, treatment effects, and extensions to various settings. Learn about consistency, efficiency, and robustness in estimation.

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

Simons Institute

Recent Development in Selective Inference II

Explore advanced selective inference techniques, including randomized approaches, computational challenges, and approximate methods for statistical analysis in adaptive data settings.

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

Simons Institute

Scaling Up Bayesian Inference for Big and Complex Data

Explore advanced Bayesian inference techniques for large-scale datasets, focusing on computational challenges and innovative solutions in machine learning and deep learning applications.

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

MITCBMM

Bayesian Inference in Generative Models

Explore approximate Bayesian inference methods, including sampling-based techniques and variational inference, with hands-on exercises in implementing algorithms and using probabilistic programming languages.

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

MITCBMM

Development of Intelligence - Josh Tenenbaum: Bayesian Inference

Explore Bayesian inference and cognitive neuroscience with Josh Tenenbaum, delving into AI challenges, scene understanding, and advanced mathematical concepts for intelligence development.

• YouTube
• 1 hour 36 minutes
• Self-Paced
• Free Video

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

Weights & Biases

Advancements in AI Inference Technology - Cerebras Systems' Wafer-Scale Chips

Explore groundbreaking AI inference technology with Cerebras Systems CEO, discussing wafer-scale chips, architectural innovations, and the future of machine learning in production environments.

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