International Centre for Theoretical Sciences Courses

Learning from Dependent Data - Lecture 2

Explores techniques for analyzing and learning from dependent data, focusing on probabilistic and optimization methods in data science.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Sampling from Convex Bodies Using Multiscale Decompositions by Piyush Srivastava

Explore advanced sampling techniques for convex bodies using multiscale decompositions, enhancing understanding of probabilistic methods in data science and optimization.

• YouTube
• 2 hours 14 minutes
• On-Demand
• Free Video

The Unreasonable Effectiveness of Mathematics in Large Scale Deep Learning - Lecture 3

Explore the mathematical foundations of large-scale deep learning and their surprising effectiveness in this lecture by Greg Yang, delving into advanced concepts and cutting-edge research.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

Learning from Dependent Data - Lecture 1

Explore techniques for learning from dependent data, focusing on probabilistic and optimization methods in data science. Gain insights into handling interconnected information effectively.

• YouTube
• 51 minutes
• On-Demand
• Free Video

An Alternative View on AI: Collaborative Learning, Incentives, Social Welfare, and Dynamics - Lecture 3

Exploring AI beyond autonomous agents: collaborative learning, incentives, and social dynamics in AI systems, emphasizing intelligence as a property of entire systems rather than individual entities.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

Introduction to Numerical Relativistic Hydrodynamics - Lecture 2

Explore advanced concepts in numerical relativistic hydrodynamics, focusing on mathematical formulations and computational techniques for modeling high-energy astrophysical phenomena.

• YouTube
• 1 hour 50 minutes
• On-Demand
• Free Video

Numerical Relativity: Mathematical Formulation - Lecture 2

Explore mathematical foundations of numerical relativity, focusing on field equations and their computational solutions for modeling high-energy astrophysical phenomena and gravitational waves.

• YouTube
• 1 hour 40 minutes
• On-Demand
• Free Video

Prediction of Survival Analysis for Cancer Patients

Explore survival analysis prediction for cancer patients using machine learning techniques. Learn to harness computational methods for improved patient outcome forecasting and healthcare decision-making.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Modeling Noisy Count Data I by Sayan Mukherjee

Explore statistical modeling techniques for analyzing noisy count data, focusing on methods to handle variability and uncertainty in numerical datasets.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Survival Analysis of Cancer Patients Using Machine Learning Technique by Shakuntala Baichoo

Explore machine learning techniques for survival analysis of cancer patients, focusing on predicting outcomes and analyzing clinical data to enhance patient care and treatment strategies.

• YouTube
• 1 hour 46 minutes
• On-Demand
• Free Video

Training Deep Learning Computer Vision Models in Pytorch Part II by Pranay Goel

Learn advanced techniques for training deep learning computer vision models using PyTorch, including optimization strategies and model architectures for improved performance and accuracy.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Artificial Intelligence in Medical Imaging for Precision Medicine by Vaanathi Sundaresan

Explore AI applications in medical imaging for precision medicine, covering deep learning techniques, image analysis, and their impact on diagnosis and treatment planning.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

Numerical Relativity: Mathematical Formulation - Lecture 3

Explore mathematical foundations of Numerical Relativity, essential for modeling gravitational waves from black hole mergers and other high-energy astrophysical phenomena.

• YouTube
• 1 hour 40 minutes
• On-Demand
• Free Video

Training Deep Learning Computer Vision Models in Pytorch - Part I

Learn to train deep learning computer vision models using PyTorch, covering essential techniques and best practices for developing effective image analysis solutions.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

Some Tales of Universality from the World of Probability by Riddhipratim Basu

Explore universality in probability theory, from the central limit theorem to contemporary research, examining how complex systems share large-scale features despite microscopic differences.

• YouTube
• 1 hour 35 minutes
• On-Demand
• Free Video