Social And Emotional Learning Courses

Alan Turing Institute

Learning From Ranks, Learning to Rank - Jean-Philippe Vert, Google Brain

Explore differentiable approaches to integrate permutations, sorting, and ranking in machine learning, focusing on embedding techniques and relaxation of ranking operators.

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

Alan Turing Institute

Can Learning Theory Resist Deep Learning? - Francis Bach, INRIA

Exploring global convergence of gradient descent in non-convex optimization for deep learning, highlighting challenges in bridging theory and practice in machine learning algorithms.

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

Alan Turing Institute

Does Learning Require Memorization? A Short Tale About a Long Tail - Vitaly Feldman, Google Brain

Exploring the necessity of memorization in learning algorithms, this talk delves into privacy concerns, long-tail distributions, and the role of memorization in achieving optimal generalization error in deep learning.

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

Alan Turing Institute

Better Decisions with Machine Learning - Peter Flach

Explore machine learning techniques for better decision-making, including ROC curves, calibration methods, and precision-recall-gain curves. Learn to adapt models to deployment contexts and measure ML performance.

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

Alan Turing Institute

Optimal Transport for Machine Learning - Gabriel Peyre, Ecole Normale Superieure

Explore optimal transport in machine learning, covering Kantorovitch's formulation, entropic regularization, and applications in generative models and GANs. Gain insights into cutting-edge advances in data science.

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

Alan Turing Institute

The Mother of All Representer Theorems for Inverse Problems and Machine Learning - Michael Unser

Explore the mathematical foundations of inverse problems and machine learning, focusing on representer theorems, Banach spaces, and kernel methods for advanced data science applications.

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

Alan Turing Institute

From Shallow to Deep Learning for Inverse Imaging Problems - Carola-Bibiane Schönlieb, Cambridge

Explore deep learning for inverse imaging problems, covering regularization techniques, neural networks, and optimization strategies for improved image reconstruction and analysis.

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

Alan Turing Institute

Affine Spline Insights into Deep Learning - Richard Baraniuk, Rice University

Explore deep learning through affine splines, understanding neural networks as matched filterbanks and partition-based signal distances. Gain insights into data augmentation and future research directions.

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

Alan Turing Institute

Social Justice in an Age of Datafication - Lina Dencik

Explore the impact of data-driven decision-making on social justice, examining how algorithmic processes affect individuals and society, and proposing a 'data justice' framework to address emerging challenges.

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

Alan Turing Institute

Learning How to Learn Efficiently - Nando de Freitas, DeepMind

Explore efficient learning techniques for neural networks to solve multiple tasks with limited data, focusing on developing adaptable "prior" networks for rapid task-specific learning.

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

Alan Turing Institute

Machine Learning Analysis of Chaos and Vice Versa - Edward Ott, University of Maryland

Exploring machine learning's effectiveness in analyzing chaotic systems and vice versa. Covers short-term forecasting, ergodic properties, Lyapunov exponents, and the interplay between chaos theory and ML in understanding complex dynamical systems.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Alan Turing Institute

Deep Learning Volatility - Blanka Horvath, Kings College London

Explore deep learning for option pricing and calibration, including neural network perspectives, rough volatility, and model recognition in financial mathematics.

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

Alan Turing Institute

A Review of Machine Learning Techniques for Anomaly Detection - Dr. David Green

Explore machine learning techniques for anomaly detection, covering traditional methods, deep neural networks, and practical applications in various domains.

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

Alan Turing Institute

Beyond Tech - Machine Learning in Science & Policy - Professor David Dunson, Duke

Exploring machine learning applications beyond tech, highlighting challenges in science and policy. Discusses fair algorithms, interpretable models, and the need for targeted methods in complex domains.

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

Alan Turing Institute

Privacy-Preserving Algorithms for Decentralised Collaborative Learning - Dr Aurélien Bellet

Explore privacy-preserving algorithms for decentralized collaborative learning, focusing on large-scale machine learning, distributed methods, and privacy protection in connected device data analysis.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video