<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Linear Algebra Basics on Standard error</title><link>https://t-redactyl.io/series/linear-algebra-basics/</link><description>Recent content in Linear Algebra Basics on Standard error</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 29 Jun 2020 00:00:00 +0000</lastBuildDate><atom:link href="https://t-redactyl.io/series/linear-algebra-basics/index.xml" rel="self" type="application/rss+xml"/><item><title>Working with matrices: powers and transposition</title><link>https://t-redactyl.io/posts/2020-06-29-matrices-powers-and-transposition/</link><pubDate>Mon, 29 Jun 2020 00:00:00 +0000</pubDate><guid>https://t-redactyl.io/posts/2020-06-29-matrices-powers-and-transposition/</guid><description>&lt;div class="my-8 rounded-lg border border-[#516d57] p-6 bg-green-50"&gt;
 &lt;div class="text-xs font-semibold uppercase tracking-widest text-[#516d57] mb-1"&gt;Part of the series&lt;/div&gt;
 &lt;div class="text-xl font-medium text-gray-800 mb-4"&gt;Linear Algebra Basics&lt;/div&gt;
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 &lt;a href="https://t-redactyl.io/posts/2020-06-01-matrices-addition-subtraction-and-multiplication/"&gt;Working with matrices: addition, subtraction and multiplication&lt;/a&gt;
 
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 &lt;a href="https://t-redactyl.io/posts/2020-06-15-matrix-inversion/"&gt;Working with matrices: inversion&lt;/a&gt;
 
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&lt;p&gt;Today, we'll complete our series on basic matrix operations by covering powers of a matrix and matrix transposition. In the previous posts, we covered &lt;a href="https://t-redactyl.io/posts/2020-06-01-matrices-addition-subtraction-and-multiplication/"&gt;matrix addition, subtraction and multiplication&lt;/a&gt;) and &lt;a href="https://t-redactyl.io/posts/2020-06-15-matrix-inversion/"&gt;matrix inversion&lt;/a&gt;).&lt;/p&gt;</description></item><item><title>Working with matrices: inversion</title><link>https://t-redactyl.io/posts/2020-06-15-matrix-inversion/</link><pubDate>Mon, 15 Jun 2020 00:00:00 +0000</pubDate><guid>https://t-redactyl.io/posts/2020-06-15-matrix-inversion/</guid><description>&lt;div class="my-8 rounded-lg border border-[#516d57] p-6 bg-green-50"&gt;
 &lt;div class="text-xs font-semibold uppercase tracking-widest text-[#516d57] mb-1"&gt;Part of the series&lt;/div&gt;
 &lt;div class="text-xl font-medium text-gray-800 mb-4"&gt;Linear Algebra Basics&lt;/div&gt;
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 &lt;span class="text-[#516d57] font-medium shrink-0"&gt;1.&lt;/span&gt;
 
 &lt;a href="https://t-redactyl.io/posts/2020-06-01-matrices-addition-subtraction-and-multiplication/"&gt;Working with matrices: addition, subtraction and multiplication&lt;/a&gt;
 
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 &lt;span class="text-[#516d57] font-medium shrink-0"&gt;2.&lt;/span&gt;
 
 &lt;span class="font-semibold text-gray-900"&gt;Working with matrices: inversion&lt;/span&gt;
 
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 &lt;span class="text-[#516d57] font-medium shrink-0"&gt;3.&lt;/span&gt;
 
 &lt;a href="https://t-redactyl.io/posts/2020-06-29-matrices-powers-and-transposition/"&gt;Working with matrices: powers and transposition&lt;/a&gt;
 
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&lt;p&gt;Today we will continue our discussion of the basic operations you can do with matrices in linear algebra. In the &lt;a href="https://t-redactyl.io/posts/2020-06-01-matrices-addition-subtraction-and-multiplication/"&gt;last post&lt;/a&gt;)
we covered addition, subtraction, scalar multiplication and matrix multiplication. This week, we'll cover matrix inversion.&lt;/p&gt;</description></item><item><title>Working with matrices: addition, subtraction and multiplication</title><link>https://t-redactyl.io/posts/2020-06-01-matrices-addition-subtraction-and-multiplication/</link><pubDate>Mon, 01 Jun 2020 00:00:00 +0000</pubDate><guid>https://t-redactyl.io/posts/2020-06-01-matrices-addition-subtraction-and-multiplication/</guid><description>&lt;div class="my-8 rounded-lg border border-[#516d57] p-6 bg-green-50"&gt;
 &lt;div class="text-xs font-semibold uppercase tracking-widest text-[#516d57] mb-1"&gt;Part of the series&lt;/div&gt;
 &lt;div class="text-xl font-medium text-gray-800 mb-4"&gt;Linear Algebra Basics&lt;/div&gt;
 &lt;div class="flex flex-col gap-2"&gt;
 
 &lt;div class="flex gap-2 items-baseline"&gt;
 &lt;span class="text-[#516d57] font-medium shrink-0"&gt;1.&lt;/span&gt;
 
 &lt;span class="font-semibold text-gray-900"&gt;Working with matrices: addition, subtraction and multiplication&lt;/span&gt;
 
 &lt;/div&gt;
 
 &lt;div class="flex gap-2 items-baseline"&gt;
 &lt;span class="text-[#516d57] font-medium shrink-0"&gt;2.&lt;/span&gt;
 
 &lt;a href="https://t-redactyl.io/posts/2020-06-15-matrix-inversion/"&gt;Working with matrices: inversion&lt;/a&gt;
 
 &lt;/div&gt;
 
 &lt;div class="flex gap-2 items-baseline"&gt;
 &lt;span class="text-[#516d57] font-medium shrink-0"&gt;3.&lt;/span&gt;
 
 &lt;a href="https://t-redactyl.io/posts/2020-06-29-matrices-powers-and-transposition/"&gt;Working with matrices: powers and transposition&lt;/a&gt;
 
 &lt;/div&gt;
 
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&lt;/div&gt;


&lt;p&gt;Last year, I had the chance to enrol in a mathematics degree by distance, which has been extremely helpful for filling in some gaps in my maths knowledge that I have coming from a behavioural sciences background. As I work my way through my degree, I'll be posting about some of the things that I am learning that I think are relevant to the tools and techniques we work with in data science. In addition to helping me fully understand the material, hopefully it will be helpful for other people working in the field.&lt;/p&gt;</description></item></channel></rss>