I'm a beginner Python programmer, just three months in and I've already watched the CS50 Python videos, which got me interested in artificial intelligence (AI). I started the introduction to AI with Python from CS50, but I've hit some roadblocks with search algorithms like Depth-First Search (DFS) and Breadth-First Search (BFS) since they're tough to code. I'm wondering if working on projects is the right way to learn or if there's a better approach?
2 Answers
How are you doing with math? It’s really useful for AI, especially when you get into concepts like p-values in linear regression. Understanding supervised vs. unsupervised learning is also key. Do you want to dive into the theories behind it all, or are you more interested in just coding and seeing results?
What are you hoping to achieve with AI? If you want to build your own projects, then you can learn the basics at your own pace. You don’t necessarily need a professional goal to get started—you can just focus on enjoying the learning process!
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