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Check out Sinead Bovell, she's a Futurist & a brilliant individual with a genuine passion about things like this

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Amazing reco. Just checked out some of her videos and šŸ˜.. she talks about really interesting topics and has good insight to offer. Thanks!

likeuplifting

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.

smart

Check out Dataquest

helpful

Thank you, will check it out.

Bootcamps can be helpful for sure. I've used Udemy and Coursera.

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Thanks!

Really? I find statistics so interesting. And the most practical of the maths.

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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.

helpful

Much appreciated, thank you for the recos and straightforward answer!

Iā€™m 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 itā€™s 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 donā€™t meet the qualifications for any job engineering jobs that work with production ML models.

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THANK YOU!

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