Back to <til> Today I learned

Machine Learning Specialization Learnings 1

I’m doing the new Machine Learning Specializationg by Andrew Ng in Coursera, great content so far.

Due to that, I’m refreshing my college Calculus and Linear Algebra.

In the first week we look at Regression Models with Gradent Descent. Wich makes ML an optimization problem of a multi-variable (features) fuction (model). The optmization takes a cost function (J) which represents the error of the fuction to predict the right value given an x.

Back to <til> Today I learned

Posts by me

Kernel mods with eBFP

Friday, July 19 2024 was a very interesting day, several Windows machines were down showing the blue screen of death. The problem was caused by a software update from a security company named Crowdstrike, which was installed on all the …

Popular git config options

Yeah, another hightlight from HN. This time Julia Evans (I have her in my syndication list, but saw her post from HN), shared a very interesting list of pupular git config options, source

Recurrency notation RFC-5545

I learn about the https://datatracker.ietf.org/doc/html/rfc5545 From the specification: This document defines the iCalendar data format for representing and exchanging calendaring and scheduling information such as events, to-dos, journal …