Data Prep for ML Sorting & Counting — Intuition Before Automation
Автор: Statisfaction
Загружено: 2026-01-05
Просмотров: 4
Modern ML tools automate a lot — but automation only works well when you understand what’s happening underneath.
In this video, we use simple Unix tools to explore sorting and counting, two deceptively basic operations that sit at the heart of data preparation, feature engineering, and statistical intuition in machine learning.
You’ll learn:
Why sorting and counting matter long before model training
How frequency and order reveal structure in raw data
What ML tools quietly assume you already understand
How simple command-line workflows build stronger intuition than GUIs
This is not about replacing ML frameworks — it’s about understanding them well enough to trust them.
If you work with data, ML, or analytics, this video will help you see preprocessing steps not as “magic,” but as deliberate, understandable transformations.
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