Does machine Learning Seem Difficult To Learn?

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Do you have a question?

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yes, i do.

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Are you going to ask your question?

I ask because your post just says this:

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I think it probably depends on what your background is coming into it.

I come from a software engineering background, so to me learning “machine learning” is actually just learning math. Specifically, I’ve had to learn Linear Algebra and get used to some basic ideas like vector space and the intuitive significance of things like the dot product (and its relation to Cosine Similarity) and so forth.

If you’re coming from a completely non-technical background it’s probably a lot more foundation to lay and groundwork to cover, but just seek out different resources on the same concept. For example, when trying to understand the Transformer architecture, I not only read the literature, but also sought out videos from people like Josh Starmer and Grant Sanderson (StatQuest and 3blue1brown on YouTube, respectively).

It’s a journey, but if you put in the effort, I think most of it doesn’t require any special genius or anything. That’s excluding SOTA research roles, of course, but most ML roles won’t be research roles.

Best of luck.