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RAGTAGS

:: THE MACHINES HAVE TAKEN OVER ::

Common Math & ML Symbols Cheat Sheet

4 min read

If you’re diving into AI or machine learning without a strong math background, the hardest part isn’t always the concepts — it’s the symbols. A page of equations can look like another language: Greek letters, bold vectors, strange operators. At first, you might find yourself calling θ “circle with a dot” before realizing it’s Theta, and that in ML it usually represents model parameters.

Why does this matter? Because in practice, you need both pieces: the name, so you can follow along in papers, tutorials, and discussions; and the function, so you actually understand what role it plays in the math. Without that, equations feel like code you can’t run.

A cheat sheet bridges that gap. Once you recognize common notations — Σ for sum, ∇ for gradient, X for dataset, ŷ for prediction — the fog lifts, and math becomes less about decoding symbols and more about learning ideas.

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OWASP Top 10 (2021)

2 min read

The OWASP Top 10 (2021) is a curated list of the most critical security risks to web applications. It’s not just for security teams - every developer should understand these risks. Below is a short summary of each, along with why or when it matters most.

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OWASP #4 (2021) – Insecure Design

1 min read

Insecure Design refers to flaws in how a system is planned, not just how it’s built. These aren’t coding bugs - they’re structural issues where security was never considered in the first place.

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OWASP #3 (2021) – Injection

1 min read

Injection happens when untrusted input is sent to a system interpreter (like SQL, shell, or HTML) without proper validation or escaping. This lets attackers modify commands and potentially take control.

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