Research Methods Courses

GOTO Conferences

Discovering Research Ideas Using Semantic Vectors and Machine Learning

Explore semantic vectors and machine learning for research idea discovery, enhancing content discoverability across disciplines using UNSILO's innovative approach to concept extraction and semantic mapping.

• YouTube
• 49 minutes
• Self-Paced
• Conference Talk

Kunal Kushwaha

OOP 2 - Packages, Static, Singleton Class, In-built Methods

Comprehensive guide to advanced OOP concepts in Java, covering packages, static elements, inner classes, and singleton pattern. Ideal for deepening understanding of Java programming.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Kunal Kushwaha

Functions - Methods in Java

Comprehensive guide to Java functions covering syntax, arguments, scoping, overloading, and practical examples. Includes hands-on exercises for effective learning.

• YouTube
• 1 hour 31 minutes
• Self-Paced
• Free Video

The Full Stack

Research Directions - Full Stack Deep Learning - Spring 2021

Explore recent advances in deep learning, including unsupervised and reinforcement learning, meta-learning, and applications in science and engineering. Gain insights into research trends and staying updated.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

The Full Stack

Pieter Abbeel on Research Directions - Full Stack Deep Learning - November 2019

Explore cutting-edge deep learning methods with Professor Pieter Abbeel, covering few-shot learning, reinforcement learning, imitation learning, domain randomization, architecture search, and unsupervised learning.

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

The Full Stack

Research Directions - Full Stack Deep Learning - March 2019

Explore cutting-edge deep learning research directions and strategies to stay informed with Professor Pieter Abbeel in this comprehensive lecture from the Full Stack Deep Learning bootcamp.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

Simons Institute

Variational Formulations and Distributed Convex Optimization Methods for...

Explore variational formulations and distributed convex optimization methods in information-theoretic approaches to trustworthy machine learning.

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

Simons Institute

Information-Theoretic Methods for Fair Risk Minimization

Explore information-theoretic approaches to fair risk minimization in machine learning, focusing on trustworthy AI and ethical considerations in algorithm design.

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

Simons Institute

Differentially Quantized Gradient Methods

Explore advanced gradient quantization techniques for machine learning, focusing on differential methods and their impact on algorithm efficiency and performance.

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

Applied Algebraic Topology Network

Two Methods of Efficiently Approximating Semi-Algebraic Sets Up to Homotopy

Explores efficient methods for approximating semi-algebraic sets, focusing on singly exponential complexity algorithms and their applications in algebraic geometry.

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

Applied Algebraic Topology Network

Topological Methods in Discrete Geometry - New Developments

Explores recent advancements in topological methods for discrete geometry, focusing on configuration spaces in cooperative game theory and their connections to embedding problems in Euclidean spaces.

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

International Mathematical Union

Algebraic-Geometrical Methods in the Theory of Integrable Systems

Explore algebraic-geometrical methods in integrable systems theory with renowned mathematician Igor Krichever, delving into advanced mathematical concepts and their applications.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

International Mathematical Union

Modern Regularization Methods in Inverse Problems and Data Science

Explores recent developments in variational methods for inverse problems and machine learning, discussing convergent regularization schemes, quantitative estimates, and connections between classical regularization theory and risk minimization.

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

International Mathematical Union

Second and Higher Order Statistical Methods in Some Once Differentiable Problems

Explores advanced statistical methods for high-dimensional data analysis, including bias correction in linear regression, bootstrap techniques for distribution approximation, and functional estimation of mean vectors.

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

Institute for Pure & Applied Mathematics (IPAM)

Nonlinear Reduced Basis Methods and Transport in Electronic Structure Calculation

Explore nonlinear reduced basis methods and optimal transport for efficient electronic structure calculations, focusing on a 1D toy model with potential extensions to larger systems.

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