I am 2. year Computer Engineering Student who wants to specialise in ML, I completed first 2 courses of Machine Learning specilisation. However, I don’t feel that I have enough foundation. I just took notes, and understand the labs. I didn’t do anything such like a project or writing my own code or doing sth practical. I don’t know where to start. Can you give me some advice please? Also I have github copilot as a student which provides 3 month free trial to datacamp which has ML projects tasks to complete. Is it useful? Thank you.
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I am also learning AI, I have a couple of months on it. I also felt like you, and asked myself the same question. The answer I came up with was to focus on making as many projects as I can. My though process was, if I get a job in the field, I am going to be making projects anyways, so why not get good at it now. Also there is a big difference between learning the theory and actually applying the knowledge, so making projects is also a way of learning the concepts a bit deeper.
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Dear @the_data_dj,
Welcome to the Community.
I am not clear about your post.
But making project required the knowledge, for knowledge you to study first.
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Welcome to the community.
Maybe this roadmap could help you to track your learning journey.
I hope this help.
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Thanks. Oh yeah, of course. I meant that once you have the knowledge your next steps you be to make projects, lots of them.
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Yes. I am agree with you.
Thanks
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