This blog post will help you to understand the basic of AI in a simple manner and an easy-to-digest hope you will enjoy.
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Machine Learning is built on prerequisites, so much so that learning by first principles seems overwhelming. Do you really need to spend a month learning linear algebra? Or weeks brushing up on calculus and statistics? Absolutely not. You’ll be okay if you have some math and programming experience. You really just have to be familiar with Sigma notation and be able to express it in a for loop. Sure, your assignments will take longer to complete and the first few times you see those giant equations your head will spin, but you can do this! Calculus is not even required. Professor Ng walks you through iteratively and makes a point of avoiding prerecs.
read full story on hackernoon:
https://hackernoon.com/the-building-blocks-of-ai-e9601ace9393
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