I'm fascinated by the possibilities of ML/AI. What's a good way to learn it? Are the bootcamps any good? I'm not even sure if I would switch careers, I just love and and am fascinated by the ability to have computers turn data into meaningful information without teaching it to (e.g. phys.org/news/2022-07-roboticists-alternative-physics.html blew my mind!).
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Check out Sinead Bovell, she's a Futurist & a brilliant individual with a genuine passion about things like this
Amazing reco. Just checked out some of her videos and š.. she talks about really interesting topics and has good insight to offer. Thanks!
My goal in learning it right now is just to be able to take an idea I want to explore, a question I want to answer, etc, from my head to a working solution.
Random examples:
1. Suppose I want to make my own model that can analyze my favorite TV show and answer natural language questions about it, or come up with interesting patterns I hadn't picked up on, etc.
2. Suppose I want to take a bunch of data from my phone / cameras / other inputs and make a automated home automation type thing.
Check out Dataquest
Thank you, will check it out.
Bootcamps can be helpful for sure. I've used Udemy and Coursera.
Thanks!
Really? I find statistics so interesting. And the most practical of the maths.
It's definitely the most oft used, but I feel like other math, when taught well, just makes sense. Stats doesn't feel logically derived or as intuitive (to me). Have you used any learning resources you'd recommend?
It's a long journey and there is plenty of material to learn in theory, practice, and general concept.
For machine learning, I always recommend "An Introduction to Statistical Learning" as a starting-off point. There's just no way around it - sooner or later in ML, you will need to learn statistics.
Artificial intelligence is pretty broad and there are any number of places to dig in. I recommend Russell and Norvig's textbook, "Artificial Intelligence" and found it a gentle enough introduction.
Much appreciated, thank you for the recos and straightforward answer!
Iām in a similar boat, wanting to explore the ML world. Except, I earned a masters degree specializing in AI/ML. The problem is, my educational experience is theoretical. Implementing algorithms from scratch in order to better understand them is very educational but itās not practical. I have no practical experience with common ML libraries or frameworks like tensorflow or amazon sagemaker. So how do I pivot from data engineering to ML engineer? I feel stuck. I donāt meet the qualifications for any job engineering jobs that work with production ML models.
THANK YOU!