Using Generative AI to Create a Hit Record?Photo by Marcela Laskoski on UnsplashNov 1, 2023Nov 1, 2023
Intro to the Viterbi AlgorithmIn the last post, we went over HMMs. In this post, we will find the most probable hidden state sequence given a HMM and observation…Mar 2, 20211Mar 2, 20211
Published inDataDrivenInvestorIntro to Hidden Markov ModelsIn this post, I introduce HMMs. I go over an example of applying an HMM with the coin toss example from previous posts.Feb 18, 2021Feb 18, 2021
Published inAnalytics VidhyaIntro to Expectation MaximizationIn this post, I go over the concept of Expectation-Maximization, break down the steps of the algorithm, and show an example using the algo.Feb 9, 2021Feb 9, 2021
Published inDataDrivenInvestorIntro to Principal Component Analysis (PCA) in PythonIn this post, I go over the PCA algorithm using numpy and scipy. I go over the key points of the PCA algorithm and a simple demo.Jan 28, 20211Jan 28, 20211
Published inAnalytics VidhyaIntro to Bayesian Parameter EstimationIn this post, we expand on Maximum Likelihood Estimation by incorporating prior information.Jan 26, 2021Jan 26, 2021
Published inAnalytics VidhyaIntro to Maximum Likelihood EstimateIn this post, I outline Maximum Likelihood Estimate to understand how this powerful tool is used to estimate parameters of distributions.Jan 22, 2021Jan 22, 2021
Published inAnalytics VidhyaBayes’ Theorem made SimpleIn this blog, I aim to teach the basics of Bayes’ theorem, an important tool in machine learning used to solve conditional probability.Jan 19, 2021Jan 19, 2021
Published inDataDrivenInvestorConditional Probability made SimpleConditional probability is imperative to learning machine learning. This post uses examples to teach such an important ML concept.Jan 14, 2021Jan 14, 2021
Published inDataDrivenInvestorProbabilistic Decision MakingThis is the first post in a series of posts in which I will be going over using data to influence decision making.Jan 12, 2021Jan 12, 2021
