AI academy- Multivariate Probability for Data Science and Real-World Applications
The training is designed to provide participants with fundamentals of multivariate probability concepts including joint distributions, covariance, correlation, and Gaussian distributions, through intuitive explanations, real-world experiments, and Python-based simulations, providing a strong foundation for data science and machine learning.
Content
The programme covers:
- Introduction to Multivariate Thinking
- Joint and Multivariate Distributions
- Covariance and Correlation
- Covariance Matrix and Multivariate Structure
- Multivariate Gaussian Distribution
- Multivariate Analysis of Real-World Data
Training Method
The training follows an interactive workshop format combining keynote lecture, hands-on coding, group design work, presentations, and experiential learning.