- Aug 6, 2012
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Nothing to brag about, but I share with the other nerds on here. Just a very simple mini race game, something a new coder would try, but I'm happy with my progress. I was going to try something more ambitious, but since I've done so many coding problems online, I didn't want to be bogged down with something too challenging/time consuming, preferring to juggle new information learning with new "doing", even if minor so I won't get discouraged.
This was less than 200 lines and it was a "structured" project, meaning, I could work through the coding and get hints and ideas to solve them. I used google alot, Stack Overflow and other resources to find answers and had the synapse working by first trying to solve it myself based on theory I had seen. Others had already posted (common syntax errors etc) online so it was never a unique problem that only I experienced.
Been consuming python courses constantly. It's just my nature to absorb something almost compulsively once I get interested in a subject. Completed some free course online in record time, watched probably 150 youtube videos, read through and/or skimmed through maybe a dozen books.
Used Atom, Eclipse and Pycharm IDE's to try a broad array of programs with 3.6. Probably going to explore Machine Learning more in depth (been on the peripheral so far) and also data science, since I've had a small taste of SQL and a reasonable understanding of server/storage hardware.
Anyone have recommendations on best steps to get into Machine Learning? Courses, (preferably free), or books? I know it's a niche area, but I've already thought of a couple of angles I haven't seen covered in anything I've read. Probably because it's not possible, hah.
I have Tensor FLow library installed, but don't know how to really maximize its use.
Thanks for your time and any advise. Cheers.
This was less than 200 lines and it was a "structured" project, meaning, I could work through the coding and get hints and ideas to solve them. I used google alot, Stack Overflow and other resources to find answers and had the synapse working by first trying to solve it myself based on theory I had seen. Others had already posted (common syntax errors etc) online so it was never a unique problem that only I experienced.
Been consuming python courses constantly. It's just my nature to absorb something almost compulsively once I get interested in a subject. Completed some free course online in record time, watched probably 150 youtube videos, read through and/or skimmed through maybe a dozen books.
Used Atom, Eclipse and Pycharm IDE's to try a broad array of programs with 3.6. Probably going to explore Machine Learning more in depth (been on the peripheral so far) and also data science, since I've had a small taste of SQL and a reasonable understanding of server/storage hardware.
Anyone have recommendations on best steps to get into Machine Learning? Courses, (preferably free), or books? I know it's a niche area, but I've already thought of a couple of angles I haven't seen covered in anything I've read. Probably because it's not possible, hah.
I have Tensor FLow library installed, but don't know how to really maximize its use.
Thanks for your time and any advise. Cheers.
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