Posts tagged with #Machine Learning
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Tracking Job Applications
I built several versions of a job application tracking system, to help me figure out how many jobs I have applied for and what the application status is From Spreadsheets, through Kanban boards, Laravel, React, NextJS and most recently, a Flutter app, This post discusses that journey.
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Using LLMs to Supercharge your Learning
Artificial Intelligence (AI) is revolutionizing the way we approach problem-solving, task automation and education.
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Building a Snake Game using Prompt Engineering
Using Prompt Engineering to build a simple game.
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AI Superpowers, the new world order
2018 saw the release of Kai-Fu Lee's book 'AI Superpowers China, Silicon Valley, and the New World Order'.
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Can you build your own Spam filter?
Short answer is obviously yes. The longer answer depends on lots of things, one of the main ones is Effort vs Benefit.
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Data Scrubbing
Before you can go away and build your Machine Learning Model you will often find that the source data needs varying levels of manipulation before presenting it to your model. This post will briefly touch on some of the technical processes of refining your data-sets to make them more workable.
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Hello World and the MNIST Database
The MNSIT (Modified National Institute of Standards and Technology) database is a large collection of handwritten numbers used for training Image Processing systems. This is, in short, the hello world of machine learning.
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Assumptions of Linear Regression
Linear Regression is an approach to modelling the relationship between a dependent variable and one or many independent variables.
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Support Vector Machines
SVM‘s are a key part of the Machine Learning History, it is fair to say that early interest in SVM’s and the realisation that they couldn’t deliver on early promises actually set the field of Machine Learning back a little.
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Machine Learning or Deep Learning?
If AI is the tree, then Machine Learning and Deep Learning are some of the branches that make that tree.
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Ever wondered how a Machine Learns?
Machine Learning systems learn how to review data inputs so that never before seen data can be predicted against results of known data.