Research Methods Courses

Alan Turing Institute

Visual and Spatial Digital Humanities Research for Japanese Culture

Explore visual and spatial digital humanities research for Japanese culture, focusing on innovative projects using computer vision, machine learning, and geographic information science to analyze historical data.

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

Alan Turing Institute

Stanford University's New Approach to Mitigate Negative Ethical and Societal Aspects of AI Research

Stanford's Ethics and Society Review board: A novel approach to mitigate ethical and societal impacts of AI research, requiring researchers to address potential harms before receiving funding.

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

Alan Turing Institute

Theory and Methods Challenges in Counterfactual Prediction - Karla Diaz-Ordaz

Explore causal inference in AI prediction, enhancing algorithms with 'what if' capabilities for decision-making and fairness. Learn about counterfactual prediction challenges and methodologies.

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

Alan Turing Institute

Workshop on Probabilistic Numerical Methods - Panel Discussion

Panel discussion exploring probabilistic numerical methods, covering topics like reference priors, robust uncertainty quantification, and Bayesian inversion methods for improved statistical inference and error quantification.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Alan Turing Institute

Climate Data Science: A Tour - Professor Doug Nychka, National Center for Atmospheric Research

Explore climate data science through statistical analysis, modeling, and Earth observation techniques. Learn about climate systems, data representation, and challenges in Earth system science.

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

Alan Turing Institute

Accelerating Research with Microsoft Azure - Dr. Kenji Takeda, Microsoft

Explore cloud computing with Azure for faster, reproducible data science research. Hands-on labs cover deep learning, NLP, ML deployment, and more across various scientific disciplines.

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

Alan Turing Institute

Software Engineering for Research - Dr. James Hetherington, Turing

Learn key aspects of research software engineering, including testing, version control, documentation, and continuous integration. Improve code quality, readability, and reproducibility for scientific computing projects.

• YouTube
• 2 hours 30 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

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

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

Alan Turing Institute

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

Alan Turing Institute

Best Practice From Julia - Impact Through Efficient Research Code

Explore Julia's impact on efficient research code, from self-driving cars to astronomy. Learn about cutting-edge tools for mathematical modeling and machine learning in various fields.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Alfredo Canziani

Contrastive Methods and Regularised Latent Variable Models

Explore contrastive methods and regularized latent variable models in energy-based models, covering self-supervised learning, autoencoders, sparse coding, and variational techniques for advanced machine learning applications.

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

Code With Dary

Must Know Collection Methods in Laravel - How to Use Collections in Laravel

Explore 12 essential Laravel collection methods, enhancing your ability to manipulate and transform data efficiently in PHP applications.

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

Paul G. Allen School

Robots That Talk and Learn - Shiwali Mohan, Palo Alto Research Center

Explore interactive task learning for robots, focusing on designing collaborative human-AI systems. Discover advances in enabling robots to learn new tasks through natural interactions with humans.

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