Social And Emotional Learning Courses

Alan Turing Institute

Making Machines That See - Geometry, Uncertainty and Deep Learning

Explore computer vision advancements, from 3D object reconstruction to real-time deep learning systems incorporating geometry and uncertainty, with applications in robotics and mobile technology.

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

Alan Turing Institute

Language Learning in Humans and Machines - Making Connections to Make Progress

Exploring connections between human and machine language learning to develop better computational methods for understanding and processing diverse languages.

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

Alan Turing Institute

Machine Learning and Data Science for Medicine - A Vision, Some Progress and Opportunities

Explore machine learning and data science applications in medicine, focusing on AutoPrognosis - an automated system for creating tailored, interpretable, and accurate prognostic models for various diseases.

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

Alan Turing Institute

Learning Automata with Hankel Matrices - Borja Balle, Amazon Research Cambridge

Explore a unified framework for learning automata using Hankel matrices, covering query learning, spectral learning, and matrix completion algorithms with practical applications.

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

Alan Turing Institute

Learning Logically Defined Hypotheses - Martin Grohe, RWTH Aachen University

Explore a declarative framework for machine learning using logic-defined hypotheses, discussing learnability results for various logics over strings, trees, and graphs.

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

Alan Turing Institute

Formal Verification and Learning of Complex Systems - Professor Alessandro Abate

Exploring formal verification techniques for complex systems, combining model-based and data-driven methods to address scalability issues and provide system-level assertions in Cyber-Physical Systems.

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

Alan Turing Institute

Fairness and Robustness in Machine Learning – A Formal Methods Perspective - Aditya Nori, Microsoft

Explore fairness in machine learning through formal methods. Learn techniques for verifying probabilistic properties and certifying fairness in decision-making programs using FairSquare.

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

Alan Turing Institute

Does Campaigning on Social Media Make a Difference? Evidence from Candidate Use of Twitter

Explore the impact of social media campaigning on elections using data science. Analyze Twitter usage by candidates, voter engagement, and campaign strategies to understand modern political landscapes.

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

Alan Turing Institute

Exploring the Cosmos with Deep Learning

Explore how deep learning revolutionizes cosmology, from detecting gravitational lenses to generating galaxy images and modeling cosmic structures, addressing challenges in modern astronomical surveys.

• YouTube
• 59 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

Alfredo Canziani

Self-Supervised Learning in Computer Vision

Explore advanced self-supervised learning techniques in computer vision, including PIRL, SwAV, AVID+CMA, and Barlow Twins, to enhance your understanding of representation learning and model training.

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

Alfredo Canziani

Unsupervised Learning - Autoencoding the Targets

Explore unsupervised learning and generative models, covering topics like latent space interpolation, style transfer, super resolution, and autoencoders. Gain insights into advanced machine learning concepts and techniques.

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

Alfredo Canziani

Supervised and Self-Supervised Transfer Learning With PyTorch Lightning

Explore supervised and self-supervised transfer learning techniques using PyTorch Lightning, comparing their implementation, training, and generalization capabilities in deep learning applications.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Alfredo Canziani

Deep Learning for Natural Language Processing

Explore NLP architectures, transformers, language models, and advanced techniques for text generation and embedding learning in this comprehensive deep learning lecture.

• YouTube
• 1 hour 41 minutes
• Self-Paced
• Free Video

Alfredo Canziani

Self-Supervised Learning in Computer Vision

Explore self-supervised learning in computer vision, covering pretext tasks, clustering, and contrastive learning. Gain insights into PIRL framework and its evaluation across various applications.

• YouTube
• 2 hours 1 minute
• Self-Paced
• Free Video