Manufacturing polynomials using a sigmoid neural network — a new look from a ‘generalization’…Disclaimer: This is a follow-up on articles I published more than 2 years ago:Jun 23Jun 23
Getting a job is a realization of a random eventTL;DR: Job seekers — don’t get frustrated by rejections. Work on ‘controllable factors’ to maximize your chances. If you already have job…Jun 27, 2023Jun 27, 2023
Between a job application and an interview — data science / machine learning tech jobsThis is a follow up to my previous article on applying for tech jobs (data science / machine learning job application processes are…Nov 21, 2022Nov 21, 2022
Applying for technology jobsThis article aims to document important aspects of my job search in the USA. This article will focus on online job applications only (I’m…Nov 18, 2022Nov 18, 2022
Manufacturing polynomials using a sigmoid neural network — practicumIn the previous article I discussed a possible way to create polynomial bases (plural of basis in linear algebra) to approximate a…Aug 15, 2022Aug 15, 2022
Manufacturing polynomials using a sigmoid neural networkThe objective of this article is to understand how (deep) neural networks with sigmoid activation can manufacture polynomial-like…Dec 29, 2021Dec 29, 2021
Does python prioritize True in ‘or’ and False in ‘and’ condition checks?BackgroundOct 31, 20212Oct 31, 20212
Published inTowards Data ScienceRidge regularization on linear regression and deep learningMathematical and geometric treatment of ridge penalty; relevance to regression and deep learningOct 5, 2019Oct 5, 2019
Published inTowards Data ScienceLasso regularization on linear regression and other modelsA mathematical analysis of the effects of lasso penalty and its effects on linear regression, including possible extensions to deep…Sep 30, 2019Sep 30, 2019
