Lectures related to Streaming Algorithms

Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.

Introduces LabVIEW for data processing and visualization, covering topics like waveform synchronization and color lookup tables.

Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.

Covers quantum chemistry topics such as tunneling, wave packets, and harmonic oscillators.

Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.

Covers data representations and processing techniques essential for effective machine learning algorithms.

Covers conditional probability distributions and introduces the concept of conditional expected value.

Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.