Ever feel like AI is just some complicated black box? I know I have. That’s why I was so excited when I saw this fantastic post from an industry pro who totally demystifies the whole thing.
The author makes a brilliant point:
AI isn’t magic, it’s math!
And according to the post’s author, a lot of it is built on 20 core algorithms. If you want to get serious about AI, you need to know what they are.
This LinkedIn creator shared some super clear explanations for a few of them. I love how simple they made it!
Here’s a quick look at the breakdown from the expert:
- 🌳 Decision Tree: Think of it like a flowchart. It asks a bunch of yes/no questions to sort your data and reach a final answer.
- 🌲🌲 Random Forest: This is a whole team of Decision Trees! They all “vote” on a prediction, and the most popular vote wins. Teamwork makes the dream work, making it way more accurate.
- ➖ Support Vector Machine (SVM): This one draws a line to separate different groups in your data. The goal is to make the gap between the groups as wide as possible for better sorting.
- 🤔 Naive Bayes: This algorithm uses probability to guess what category something belongs to. The expert notes it’s called “naive” because it assumes all features are independent, which isn’t always true.
This is just a taste of the knowledge dropped in the original post!
The person who shared it included an infographic with the rest of the algorithms. If you really want to understand the engine behind AI, you have to go check out the full post from this talented creator.