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Part 6: Classic Machine Learning algorithms

Four algorithms that have been working for decades without a single neural network. The toolbox Chapter 5 laid out the three schools of machine learning, supervised, unsupervised and reinforcement. Those were three ways of framing a problem, not three ways of solving one. This chapter goes down a floor into the engine room, the classic […]

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Part 7: Training a model

Training is not feeding data to a machine and hoping. It is a process with rules. What training actually means Chapter 6 left four algorithms on the table and one phrase repeated without ever being unpacked, “it gets trained on the data”. Time to open that box. Training a model is the process by which […]

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The AI serie, the developer`s new best friend

Love it or fear it, that’s the question. Welcome to the series. Disclaimer: This series is written with the help of artificial intelligence (Claude), checking every technical claim against primary sources and official documentation (academic papers, technical documentation, specialized outlets) and citing the source for every relevant statement. Even so, it doesn’t replace your own […]

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The Day They Hired Me by Mistake

Friend, Wake Up: You’re Not Inheriting the Company This happened to a friend, all because of a hiring mistake nobody at the company wanted to own up to. At the time it was rough, today he tells it as a story so ridiculous that people barely believe he actually lived through it. They say first […]

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