Alan Turing Institute Courses

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

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

Recurrent Neural Networks and Models of Computation - Edward Grefenstette, DeepMind

Exploring recurrent neural networks and memory-enhanced architectures, analyzing their computational capabilities and efficiency in relation to traditional models of computation.

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

Isotonic Regression in General Dimensions – Richard Samworth, University of Cambridge

Explore isotonic regression in multiple dimensions, covering key concepts like natural partial ordering, statistical dimension, and adaptation. Learn about algorithms, risk bounds, and recent developments in this field.

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

Multilevel Weighted Least Squares Polynomial Approximation – Sören Wolfers, KAUST

Explore multilevel weighted least squares polynomial approximation for high-dimensional function reconstruction, addressing the curse of dimensionality and leveraging structural assumptions for improved accuracy.

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

Tensor Train Algorithms for Stochastic PDE Problems - Sergey Dolgov, University of Bath

Explore tensor train algorithms for stochastic PDE problems, focusing on high-dimensional function approximation, Bayesian inversion, and efficient sampling methods for inverse problems.

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

Score Estimation with Infinite-Dimensional Exponential Families – Dougal Sutherland, UCL

Explore score estimation in infinite-dimensional exponential families, covering reproducing kernel Hilbert spaces, maximum likelihood, and Nystrom approximation. Includes theoretical overview and experimental results.

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

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

Digital Data Products and Changing Conversations - Dr Ryan Dunn, Department for Work and Pensions

Exploring data science's role in public discourse, this talk addresses challenges in using data for decision-making and fostering trust in statistics, emphasizing accessibility and transparency.

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

Data Journalism at The Times and The Bureau Local Challenges - Megan Lucero, The Bureau Local

Explore data journalism challenges and innovations at The Times and The Bureau Local. Learn about data-driven storytelling, ethical reporting, and leveraging public data for impactful investigations.

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

Artificial Intelligence, Ethics and the Law - What Challenges? What Opportunities?

Exploring ethical and legal challenges of AI in society, featuring expert perspectives on transparency, accountability, and responsible development of AI technologies.

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

Turing Lecture - AI Through the Looking Glass

AI's societal impact: opportunities, challenges, and ethical considerations. Explores job automation, socio-technical approaches, and UK's positioning in AI evolution. Emphasizes unexpected outcomes and the need for diverse perspectives.

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

Small Data and Big Data - Web Archives and Research in the Humanities

Explore web archives' potential for humanities research, examining challenges and opportunities in using digital collections to study social and cultural phenomena.

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

Reading Between the Lines - The Hidden Bias of NLP - Dr Dirk Hovy

Dr Dirk Hovy explores hidden biases in Natural Language Processing, discussing selection, annotation, model, and design biases, with a focus on American English and potential solutions.

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

How Digital Data Collection Methods Impact Scientific Inference - Dr. Rebekah Tromble

Explore how digital data collection methods impact scientific inference, focusing on Twitter data analysis, APIs, and logit regression. Learn to navigate challenges in social and cultural research.

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