<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Blog on Sjmelck</title><link>https://ryanbalshaw.github.io/sjmelck_pages/blog/</link><description>Recent content in Blog on Sjmelck</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 16 Sep 2026 10:00:05 +0200</lastBuildDate><atom:link href="https://ryanbalshaw.github.io/sjmelck_pages/blog/index.xml" rel="self" type="application/rss+xml"/><item><title>Logistic Regression from the ground up</title><link>https://ryanbalshaw.github.io/sjmelck_pages/blog/logistic-regression/</link><pubDate>Wed, 23 Apr 2025 15:51:58 +0200</pubDate><guid>https://ryanbalshaw.github.io/sjmelck_pages/blog/logistic-regression/</guid><description>&lt;h2 id="introduction"&gt;&#10; Introduction&#10; &lt;a class="heading-anchor" href="#introduction" data-copy-heading aria-label="Copy link to Introduction"&gt;&#10; &lt;i class="bi bi-link-45deg" aria-hidden="true"&gt;&lt;/i&gt;&#10; &lt;/a&gt;&#10;&lt;/h2&gt;&#10;&lt;p&gt;Good day! &amp;#x1f44b;&lt;/p&gt;&#10;&lt;p&gt;In this post, the logistic regression model is covered in detail. This model is used to predict binary outcomes and is well known for its ability to drive interpretability. The objective is to start with the basics of the model formulation, consider how to interpret the model parameters, introduce the concept of how to regularise the model, give the analytical forms of the gradient vector and Hessian matrix, and define how to extend the class to the multi-class classification form.&lt;/p&gt;</description></item><item><title>An introduction to Radial basis functions</title><link>https://ryanbalshaw.github.io/sjmelck_pages/blog/rbf-models/</link><pubDate>Fri, 15 Mar 2024 11:59:05 +0200</pubDate><guid>https://ryanbalshaw.github.io/sjmelck_pages/blog/rbf-models/</guid><description>&lt;p&gt;Good day 👋&lt;/p&gt;&#10;&lt;p&gt;🧠 This is the first in a series of blog posts that deal with radial basis function surrogate models 🧑🏽‍🏫. The end goal will be to implement gradient enhanced models that complete powerful transformation procedures, but, we must first understand and implement the simplest version of these models.&lt;/p&gt;</description></item><item><title>Introduction to Latex With Assistance From Zotero</title><link>https://ryanbalshaw.github.io/sjmelck_pages/blog/introduction-to-latex-with-assistance-from-zotero/</link><pubDate>Sat, 24 Feb 2024 16:37:48 +0200</pubDate><guid>https://ryanbalshaw.github.io/sjmelck_pages/blog/introduction-to-latex-with-assistance-from-zotero/</guid><description>&lt;p&gt;Good day 👋&lt;/p&gt;&#10;&lt;p&gt;🧠 This blog aims to provide an introduction towards using LaTeX for reports in conjunction with Zotero as a reference manager and Research rabbit to aid “fast-tracking” research.&lt;/p&gt;&#10;&lt;h2 id="outcomes"&gt;&#10; Outcomes:&#10; &lt;a class="heading-anchor" href="#outcomes" data-copy-heading aria-label="Copy link to Outcomes:"&gt;&#10; &lt;i class="bi bi-link-45deg" aria-hidden="true"&gt;&lt;/i&gt;&#10; &lt;/a&gt;&#10;&lt;/h2&gt;&#10;&lt;ul&gt;&#10;&lt;li&gt;Understand how Zotero can be used as a powerful research tool 💪.&lt;/li&gt;&#10;&lt;li&gt;Know how to configure Zotero to use a &lt;code&gt;.bib&lt;/code&gt; file containing stored references that can be used when typesetting with LaTeX 💁.&lt;/li&gt;&#10;&lt;li&gt;Be aware of the basics of other artificial intelligence (AI) research tools such as Research Rabbit 🐇.&lt;/li&gt;&#10;&lt;/ul&gt;&#10;&lt;h2 id="zotero-as-a-research-tool-with-latex"&gt;&#10; Zotero as a research tool with LaTeX&#10; &lt;a class="heading-anchor" href="#zotero-as-a-research-tool-with-latex" data-copy-heading aria-label="Copy link to Zotero as a research tool with LaTeX"&gt;&#10; &lt;i class="bi bi-link-45deg" aria-hidden="true"&gt;&lt;/i&gt;&#10; &lt;/a&gt;&#10;&lt;/h2&gt;&#10;&lt;p&gt;&#10;&#10;&lt;a href="https://www.zotero.org/"&#10; title="Zotero" &#10; target="_blank" rel="nofollow noopener"&gt;&#10; Zotero&#10;&lt;/a&gt;&#10; is not just another tool; it&amp;rsquo;s a research companion, a digital librarian, and an organizational workspace all in one environment. This section presents how Zotero can improve ones engagement with literature in conjunction with making the connection between reading literature and referencing using LaTeX as a typesetting tool.&lt;/p&gt;</description></item><item><title>Time synchronous averaging and computed order tracking: Explained</title><link>https://ryanbalshaw.github.io/sjmelck_pages/blog/the-tsa-and-cot-explained/</link><pubDate>Fri, 14 Apr 2023 16:14:08 +0200</pubDate><guid>https://ryanbalshaw.github.io/sjmelck_pages/blog/the-tsa-and-cot-explained/</guid><description>&lt;p&gt;Good day 👋&lt;/p&gt;&#10;&lt;p&gt;The purpose of this explanation is to detail a high-level overview of the time-synchronous average (TSA) and Computed Order Tracking (COT). This will require a basic understanding of the objectives of TSA and COT, and I will try to provide some explanations and intuition to help those who do not have a good grasp on the concepts. At the end of each section, I provide a step-by-step guide for implementing these methods. If you have any questions, please feel to contact me at &#10;&#10;&lt;a href="mailto:ryanbalshaw81@gmail.com"&#10; title="ryanbalshaw81@gmail.com" &#10; &gt;&#10; ryanbalshaw81@gmail.com&#10;&lt;/a&gt;&#10;.&lt;/p&gt;</description></item><item><title>The Fourier transform: Explained</title><link>https://ryanbalshaw.github.io/sjmelck_pages/blog/the-fourier-transform-explained/</link><pubDate>Thu, 19 Jan 2023 16:18:44 +0200</pubDate><guid>https://ryanbalshaw.github.io/sjmelck_pages/blog/the-fourier-transform-explained/</guid><description>&lt;p&gt;Good day 👋&lt;/p&gt;&#10;&lt;p&gt;So if you are opening this document, you hopefully have some questions about the Fourier Transform (FT), the Discrete Fourier Transform (DFT) or perhaps you are just curious to see what this document entails. Regardless of your reason for opening, I hope that this document makes the FT and DFT more accessible and intuitive. I have attempted to write this from a basic Mechanical Engineering context, so I hope you enjoy this document! If you have any questions, please feel to contact me at &#10;&#10;&lt;a href="mailto:ryanbalshaw81@gmail.com"&#10; title="ryanbalshaw81@gmail.com" &#10; &gt;&#10; ryanbalshaw81@gmail.com&#10;&lt;/a&gt;&#10;.&lt;/p&gt;</description></item></channel></rss>