Yuki ShizuyainIntuitionStatistics: Time Series Analysis — Compilation of the fundamental conceptsGentle introduction of time series analysis basics with visualization and detailed mathematical derivation3d ago3d ago
Yuki ShizuyainThe Quantastic JournalMathematical understanding of Gaussian ProcessDetailed explanation of mathematical background of Gaussian process with necessary concepts and visualizationJun 242Jun 242
Yuki ShizuyainIntuitionGentle introduction of Bayesian Linear RegressionMathematical background behind the Bayesian linear regression with Gaussian prior and practical implementationJun 8Jun 8
Yuki ShizuyainIntuitionUnderstanding L1 and L2 regularization with analytical and probabilistic viewsDerive L1 and L2 regularization via analytical and probabilistic solutionMay 252May 252
Yuki ShizuyainIntuitionGentle introduction of Continuous Optimization for machine learningThis blog will introduce the basics of continuous optimization, gradient descent for unconstrained optimization, and Lagrange multiplier…May 13May 13
Yuki ShizuyainIntuitionGentle introduction of Multiple linear regressionDetailed Mathematical derivation and the Python implementation of multiple linear regressionApr 30Apr 30
Yuki ShizuyainIntuitionDetailed Mathematical Derivation of EM algorithmDetailed mathematical derivation of EM algorithm and implement from scratch in PythonApr 16Apr 16
Yuki ShizuyainIntuitionStatistics: Conditional Probability ModelsThe gentle introduction to conditional probability and related theoriesApr 7Apr 7
Yuki ShizuyainIntuitionStatistics: Independence, Covariance, and CorrelationMathematical understanding of critical statistics concepts: Independence, Covariance, and CorrelationMar 26Mar 26
Yuki ShizuyainIntuitionStatistics: Continuous Random VariablesDetailed introduction of continuous random variable with concrete examplesMar 19Mar 19
