PinnedMANIE TADAYONinTowards Data ScienceAuto-HMM in PythonAutomatic Model selection, training, and testing for the hidden Markov ModelNov 6, 20217Nov 6, 20217
PinnedMANIE TADAYONinTowards Data SciencetsBNgen: A Python Library to Generate Time Series Data from an Arbitrary Dynamic Bayesian Network…Synthetic data is widely used in various domains. This is because many modern algorithms require lots of data for efficient training, and…Sep 19, 2020Sep 19, 2020
MANIE TADAYONinTowards Data ScienceComprehensive Study of Least Square Estimation (Part 3)May 12, 2021May 12, 2021
MANIE TADAYONinTowards Data ScienceComprehensive Study of Least Square Estimation (Part 2)May 10, 2021May 10, 2021
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MANIE TADAYONinTowards Data ScienceComprehensive Overview of Random Variables, Random Processes, and Their Properties (Part 2)All You Need about Random Processes and Their Properties.Feb 3, 2021Feb 3, 2021
MANIE TADAYONinTowards Data ScienceComprehensive Overview of Random Variables, Random Processes, and Their Properties (Part 1)This is a two-part article. In part 1 (This part), I will go over random variables, random vectors, and their properties. In part 2, I…Jan 13, 20212Jan 13, 20212
MANIE TADAYONinThe StartupPython vs R vs Matlab for Machine Learning, Causal Inference, Signal Processing, and More.Decide What Programming Language Is Better for Your ApplicationDec 27, 20202Dec 27, 20202
MANIE TADAYONinTowards Data ScienceEssential Parameter Estimation Techniques in Machine Learning and Signal ProcessingBayesian vs Frequentistcs Parameter EstimationDec 19, 2020Dec 19, 2020