Importance of Math for AI Enthusiasts

Who want be an AI/ML expert from a different background, like Computer Science. I am not abandoning CS knowledge.

However, on my topic, I want to share with newbies in AI. ‘Math’ is so important for AI. You can’t go a step without math. I think ‘Math’ is a brain in AI/ML. A few types of math direct Machine Learning models. I mean a math ML. Don’t be surprised, I think you heard ‘Linear Regression’ Math, this math is exactly an ML model. It’s a one-case example; it predicted that the product price increases or decreases; it has use cases.

There are a few types of math important in AI/ML

1. Linear Algebra
2. Probability & Statistics
3. Calculus
4. Discreate Mathmatics Many math concepts come after. Now, I mentioned a few types of math it’s perfect for beginners.

When you start your journey, many topics come, and it’s depend on your project or vision. You must adopt those lines of topics.

You get lots of prepaid ML models, just a few line commands. Actually, you don’t get to feel backend operations and execution. You confide in and a career ceiling to prepaid ML. Your career would act like a soccer ball. Who build model, & then you move. Acctually It’s like funny writing now, sure, I made it funny.

Let’s move seriously. If you don’t know the basics of math or the foundation. Don’t worry, go ahead and collect high school math books, read & practice, and so on.

Let’s you read to clear your confusion. I know your doubt & question. In this article, I mentioned how important math is in AI/ML. After I will write articles and try to cover the Guideline, AI/Ml Pipeline.