Social And Emotional Learning Courses

Strange Loop Conference

Machine Learning Failures - For Art

Explore hilarious machine learning failures in art, from cookie recipes to pony classification, and learn how to deliberately create amusing AI mistakes.

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

Strange Loop Conference

Democratizing AI - Back-Fitting End-to-End Machine Learning

Explore LinkedIn's journey in democratizing AI, enhancing modeler efficiency, and scaling machine learning across engineering teams through innovative infrastructure and practices.

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

Strange Loop Conference

Learning from Machines

Explore cognitive models inspired by machine learning, offering insights into perception, expertise, and trauma. Gain a new perspective on human cognition and self-awareness.

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

Strange Loop Conference

Key to the City - Writing Code to Induce Social Change

Exploring how software development can address social inequalities through open data, collaboration, and civic tech, with a focus on verifiable solutions and empathy-driven approaches.

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

Chemometrics & Machine Learning in Copenhagen

Getting Machine Learning Models into Use

Practical guide to deploying bioinformatics machine learning models, focusing on scalability, user-friendliness, data security, and maintainability for real-world impact.

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

Alan Turing Institute

Machine Learning in Condensed Matter and Materials Physics

Explore machine learning applications in condensed matter physics, from electronic simulations to material engineering. Discover how ML enhances computational methods and enables new physical insights for exotic materials.

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

Alan Turing Institute

AIUK 2022 Workshop - IceNet: Deep Learning Framework for Sea Ice Forecasting

Deep learning framework for Arctic sea ice forecasting, exploring IceNet's model, pipeline, and ecosystem. Insights into data processing, visualization, and real-world applications.

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

Alan Turing Institute

Scoring Systems - At the Extreme of Interpretable Machine Learning - Cynthia Rudin - Duke University

Explore interpretable machine learning for high-stakes decisions. Learn about optimal scoring systems, their applications in healthcare and criminal justice, and the importance of transparency in AI models.

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

Alan Turing Institute

Model Based Deep Learning - Applications to Imaging and Communications - Yonina Eldar

Explore model-based deep learning for imaging and communications, merging parametric models with optimization tools for efficient, interpretable networks applicable to various real-world problems.

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

Alan Turing Institute

Deep Learning for Scientific Computing - Two Stories on the Gap Between Theory & Practice - Ben Adcock

Explores deep learning in scientific computing, highlighting limitations and recent theoretical advancements in high-dimensional function approximation and inverse problems for imaging, aiming to bridge the gap between theory and practice.

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

Alan Turing Institute

Safety and Robustness for Deep Learning with Provable Guarantees - Marta Kwiatkowska - Oxford

Explore techniques for ensuring safety and robustness in deep learning systems, focusing on automated certification methods, Bayesian learning, and causality in critical applications.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Alan Turing Institute

The Rise of Model-Based Data and Its Implications for Social Science and Policy

Exploring the shift towards model-based data in social sciences, its impact on urban planning, and implications for policy-making and research methodologies in the era of AI and big data.

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

Alan Turing Institute

Probabilistic Methods for Increased Robustness in Machine Learning

Explore probabilistic methods to enhance machine learning robustness, focusing on latent variables, molecular design, and optimization techniques for improved AI performance and reliability.

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

Alan Turing Institute

Making Sense of Mobile Network Traffic Using Deep Learning - Paul Patras, Edinburgh

Explore deep learning techniques for analyzing mobile network traffic, enhancing urban data interpretation and smart city development.

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

Alan Turing Institute

Ethics Review of Machine Learning in Children’s Social Care - Ellie Ott & David Leslie

Explores ethical considerations and practical principles for implementing machine learning in children's social care, addressing risks, data quality, and strategies to improve outcomes for families.

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