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.
Certification
Certificate of ParticipationPrerequisites
This training has no prerequisitesPlanning and location
09:00 - 16:30
Your trainer(s) for this course
Bereket YILMA
See trainer's courses.Dr. Bereket Yilma is a scientist, educator, entrepreneur, and visionary of Artistic Digital Mental Health Care, founder of ArtAICare , the first end-to-end digital art therapy platform and the ArtAICare Academy, bridging the tech and AI literacy gap, transforming mental health professionals into leaders of the AI revolution in mental health care. As a scientist, he has developed several systems and digital intervention tools that accelerate recovery from mental health disorders through evidence-based art therapy approaches. Dr. Yilma is a strong advocate for human-centered AI, ensuring that technology supports decision-making and processes without replacing expert judgment. He has a track record of leading interdisciplinary research at the intersection of AI, brain-computer interfaces, mental health care, and digital therapeutic systems, designing scalable solutions and guiding teams to deliver measurable outcomes and effective interventions.