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Related lectures (30)

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ECDF and Quantiles

Covers ECDF, quantiles, mean, median, and box plots for dataset analysis.

Birth Month Impact on Athlete Success

Investigates how birth month influences athlete success, analyzing Japanese athletes' dataset to explore trends in birthdates and occupations.

Families of Distributions: PDFs and CDFs

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

Continuous Random Variables

Covers continuous random variables, probability density functions, and distributions, with practical examples.

Quantiles and Distributions

Explores quantiles in distribution functions and calculating expectations and variances.

Radiative Exchange: Specular View Factors

Covers specular view factors, radiative exchange, energy transfer, and numerical integration methods in thermal radiation.

Linear Regression: Maximum Likelihood Approach

Covers linear regression topics including confidence intervals, variance, and maximum likelihood approach.

Normal Distribution: Properties and Calculations

Covers properties and calculations related to the normal distribution, including probabilities and quantiles.

Continuous Random Variables

Explores continuous random variables, density functions, joint variables, independence, and conditional densities.

Fundamental Limits of Gradient-Based Learning

Delves into the fundamental limits of gradient-based learning on neural networks, covering topics such as binomial theorem, exponential series, and moment-generating functions.