Data Protection Courses

Fields Institute

On the Role of Data Structure in High-Dimensional Learning

Explores high-dimensional learning challenges, focusing on geometric function classes, optimization aspects, and computational hardness. Discusses algorithmic approaches and implications for deep learning.

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

Fields Institute

SubLign- A Deep Generative Model for Clustering Censored Time-Series Data

Explore a deep generative model for clustering censored time-series data, focusing on challenges, key ideas, and applications in machine learning.

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

Fields Institute

Convergence of Scattering Data and Non-Linear Fourier Transform - Part 1

Explore canonical systems, spectral problems, and Hilbert spaces of entire functions in this advanced mathematical analysis lecture on scattering data and non-linear Fourier transform.

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

Fields Institute

Machine Learning Approaches for Predicting Seismic, Acoustic and Atmospheric Data

Explore machine learning techniques for predicting seismic, acoustic, and atmospheric data, focusing on KNN and neural networks with uncertainty quantification for improved accuracy.

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

Fields Institute

Data-Driven Discovery of Linear Dynamical Systems Over Graphs via Dynamical Sampling

Explore linear dynamical systems on graphs through data-driven discovery, focusing on efficient recovery of missing information and optimal sampling strategies for graph signal processing.

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

Fields Institute

PCA for High-Dimensional Heteroscedastic Data

Explore optimal weighting for PCA in high-dimensional heteroscedastic data, improving recovery of underlying components and addressing challenges in modern applications with heterogeneous datasets.

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

International Centre for Theoretical Sciences

Big Data Meets Big Brother by Reetika Khera

Explore the controversial Aadhaar system's impact on welfare, privacy, and democracy in India. Uncover potential risks of digital ID projects and their implications for surveillance and data mining.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Statistics and Data Analysis for Cosmology - Lecture 1

Explore probability concepts in cosmology, including joint and conditional probability, PDFs, independence, Bayes' theorem, and data modeling for analyzing cosmic phenomena.

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

Kunal Kushwaha

Maths for Data Structures & Algorithms

Comprehensive overview of essential mathematical concepts for data structures and algorithms, covering prime numbers, Sieve of Eratosthenes, square roots, factors, modulo properties, HCF/LCM, and Euclidean algorithm.

• YouTube
• 1 hour 55 minutes
• Self-Paced
• Free Video

Fission

IPFS Cluster Overview - Data Orchestration Across IPFS Daemon Swarms

Overview of IPFS Cluster: data orchestration across IPFS daemons, allocating and tracking distributed pinsets. Covers history, roadmap, garbage collection, production use, and key features like load balancing.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Simple Snippets

M-way Search Tree Data Structure - Insertion and Deletion Operations

Learn insertion and deletion operations in M-way search trees through step-by-step examples. Gain practical understanding of this advanced data structure for efficient searching and organization.

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

Simple Snippets

Graph Data Structure - Delete Edge Operation Using Adjacency List - Part 6

Learn to implement the delete edge operation in graph data structures using C++, focusing on adjacency list representation and practical coding techniques.

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

Simple Snippets

Graph Data Structure - Update Edge Operation Using Adjacency List - Part 5

Learn to update edge weights in a graph using C++ with adjacency list implementation. Covers pseudocode, working principles, and practical coding for efficient graph manipulation.

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

Simple Snippets

Graph Data Structures - Add Edge Operation Using Adjacency List Implementation - Part 3

Learn to implement the Add Edge operation in Graph Data Structures using C++. This tutorial covers pseudocode explanation and practical coding for efficient graph manipulation using adjacency lists.

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

Simple Snippets

Graph Data Structure - Add Vertex Operation Using Adjacency List - Part 2

Learn to implement the Add Vertex operation in Graph Data Structure using C++ and adjacency list representation. Gain practical coding skills for efficient graph manipulation.

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