The Industrial AI Journey

From confession to competence - A brutally honest path to mastery

Month 00: The Confession

Admitting what I don't know

1

The Transpose Button Confession: How I Faked My Way Through AI

2

Variable Amnesia: When I Couldn't Explain What x = 5 Actually Means

3

The Loop That Almost Got Me Fired

4

Functions: More Than Copy-Paste Blocks I Don't Understand

5

My Data Structure Disaster at the Steel Mill

6

The Debugging Diary: Learning to Fix What I Don't Understand

Month 0: Building Competence

Learning the fundamentals properly

7

From Excel to Python: A Metallurgist's Painful Journey

8

SQL Nightmares: When SELECT * Crashed Production

9

Object-Oriented Confusion: Classes Aren't Just Fancy Dictionaries

10

The Day I Learned What APIs Actually Are

11

Version Control Saved My Job: A Git Redemption Story

12

Testing: How I Stopped Breaking Production Every Friday

Month 1: Mathematical Foundations

The language of industrial AI

13

Matrix Multiplication: The Day It Finally Clicked

14

Eigenvalues: Finding Hidden Patterns in Vibration Data

15

PCA Decoded: Reducing 100 Sensors to 5 That Matter

16

The Magic of SVD in Missing Sensor Data

17

Probability: Why Your Mill Doesn't Follow Normal Distributions

18

Calculus for Optimization: Finding the Sweet Spot in Rolling Speed

Month 2: Python Deep Dive

From basics to industrial applications

19

NumPy Nightmares: When Vectorization Goes Wrong

20

Pandas Proficiency: From CSV Hell to Data Paradise

21

The Bootstrap Method That Saved Our Quality Predictions

22

Convex Optimization: Why Some Problems Are Actually Easy

23

Genetic Algorithms: When Brute Force Is Actually Smart

24

Regularization: How I Stopped Overfitting Everything