Lectures related to Vision-Language-Action Models: Training and Applications

Covers the analysis of ECG heart rate data and respiratory flow measurements using Excel.

Covers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.

Covers the hydrodynamic and thermal aspects of internal forced convection.

Covers the basics of machine learning, including supervised and unsupervised learning, linear regression, and classification.

Introduces the basics of machine learning, covering supervised and unsupervised learning, linear regression, and data understanding.

Covers exercises on surface radiative properties, including spectral absorptivity, reflectivity, emissivity, and temperature changes.

Explores modern approaches and challenges in acquiring data for learning optimal controllers through demonstrations and data-driven methods.

Explores free convection, laminar flow boundary layer equations, and heat transfer principles.