Inference Courses and Certifications

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

Scala Days Conferences

Type Parameter Power-Up! Variance, Bounds, and Inference

Explore advanced Scala type system concepts including variance, bounds, and inference to enhance your programming skills and write more robust code.

• YouTube
• 38 minutes
• On-Demand
• Conference Talk

Serverless Machine Learning Inference with KFServing

Explore serverless ML inference with KFServing, addressing deployment challenges, auto-scaling, and GPU utilization. Learn about real-world applications and future prospects in machine learning production environments.

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

Broad Institute

Deep End-to-end Causal Inference and Introduction to Causal Discovery

Explore deep end-to-end causal inference and discover its applications in data-driven decision-making across various domains. Learn about causal discovery, inference, and the Microsoft causal AI suite.

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

Broad Institute

Contrastive Models for Case-Control Changes in Sequencing - Models, Inference and Algorithms

Explore contrastive latent variable models for analyzing differential expression in sequencing data, enhancing case-control comparisons in transcriptomics with novel approaches to capture condition-specific variations.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

Broad Institute

High-Throughput In Silico Genetic Screen for 3D Genome Organization - Models, Inference and Algorithms

Explore cutting-edge approaches in 3D genome organization research, including in silico genetic screening and graph representation learning for analyzing multiscale chromatin structure.

• YouTube
• 1 hour 50 minutes
• On-Demand
• Free Video

SNIAVideo

Storage Requirements for AI Infrastructure - From Data Preparation to Inference

Delve into the crucial role of storage systems across the AI lifecycle, from data preparation to inference, exploring performance requirements and infrastructure considerations for optimal GPU utilization.

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