Quantitative Methods Courses

The National Centre for Research Methods

Advanced Bayesian Methods

Explore advanced Bayesian computational techniques including Metropolis Hastings, Gibbs sampling, and convergence assessment for efficient statistical analysis and modeling.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

The National Centre for Research Methods

Social Science Methods & Automated Data Algorithms

Explore cutting-edge data algorithms in social science, covering AI ethics, privacy implications, and innovative applications like deep learning for urban analysis.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

The National Centre for Research Methods

Quantitative Data Handling and Data Analysis

Explore quantitative data analysis techniques through expert lectures on topics like meta-analysis, cohort effects, questionnaire design, and statistical approaches to social research and policy-making.

• YouTube
• 13 hours
• On-Demand
• Free Video

Jonathan Walters

Statistical Methods

Comprehensive lectures on statistical methods covering probability, distributions, hypothesis testing, and regression, with practical examples and review problems.

• YouTube
• 23 hours
• On-Demand
• Free Video

Mathematical Methods and Its Applications

Explore linear differential equations, including solutions for homogeneous and non-homogeneous cases, Wronskian, and Euler-Cauchy equations in this comprehensive mathematical methods course.

• YouTube
• 6 hours
• On-Demand
• Free Video

Numerical Methods

Comprehensive exploration of numerical methods covering error analysis, linear systems, interpolation, differentiation, integration, and solving algebraic equations using various techniques.

• YouTube
• 1 day 6 hours
• On-Demand
• Free Video

Calculus II - Integration Methods, Series, Parametric-Polar, Vectors

Comprehensive exploration of advanced calculus topics, including integration techniques, series analysis, parametric and polar curves, and vector fundamentals for a deeper mathematical understanding.

• YouTube
• 7 hours
• On-Demand
• Free Video

E2EML - How Selected Models and Methods Work

Explore key machine learning algorithms and methods, including decision trees, Bayes Theorem, autocorrelation, Support Vector Machines, and k-nearest neighbors, in this comprehensive video series.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Reinforcement Learning Course: Intro to Advanced Actor Critic Methods

Explore advanced actor-critic methods in reinforcement learning, focusing on continuous action spaces for robotics applications. Covers algorithms like DDPG, TD3, PPO, SAC, and A3C with code examples.

• freeCodeCamp
• 6 hours
• On-Demand
• Free Video

The Julia Programming Language

Interval Methods for Scientific Computing in Julia

Explore interval methods for scientific computing in Julia, focusing on constraint propagation, global optimization, and root finding using IntervalConstraintProgramming.jl and IntervalArithmetic.jl packages.

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

TEDx

How Can Women Improve Their Networking Methods

Strategies for women to enhance networking skills, focusing on self-improvement and equal value exchange. Insights from Amy Wu, founder of GirlUp, on building successful professional connections.

• YouTube
• 17 minutes
• On-Demand
• Conference Talk

Kavli Institute for Theoretical Physics

Particle-Based Methods for Cloud Microphysics - Towards Learning Climate

Explore particle-based methods for cloud microphysics and their potential in climate modeling. Discover advancements in understanding geophysical fluid flows involving bubbles, drops, and particles.

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

Kavli Institute for Theoretical Physics

Time Evolution of Bias - Applying Various Methods

Explore the evolution of bias in cosmic structure formation using various methods, examining its impact on galaxy distribution and the cosmic web across time.

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