Growth rate and uniform convergence

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Discusses challenges in scalable analytics over heterogeneous Big Data and introduces SmartDataLake for efficient handling of raw data.

Explores moment-generating functions, linear combinations, and normality of random variables.

Explores PDFs and CDFs for discrete and continuous random variables, including Gaussian, uniform, and exponential distributions.

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Introduces fundamental machine learning concepts, covering regression, classification, dimensionality reduction, and deep generative models.

Explores the fundamentals of Brownian motion, including particle positions and distribution functions.

Explores different modes of convergence for random variables.