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What’s good about it?
Thanks. I added some more comments.
I have no idea how 'Machine Learning' from Ng is not mentioned. It's fine in teaching you introductory (although it seems to cover more basics than a lot of other courses do, somehow) ML. But more importantly, it's a well designed course. You can see how each piece uses previous pieces and how it solves problems and edge cases not covered earlier.
While it does talk through the basics of ML, it is really barely a taster. It doesn’t leave you with any skills, other than, if you buy a book and work through it, you will know what a “decision tree” is ahead of time.
With something like ML, the real value is in the deep nitty gritty, building intuition about methods you use, fighting the unfair battle against broken data etc, and all those things were missing to me.
Cryptography 1, time well spent. ~3000 reviews at 4.8 stars https://www.coursera.org/learn/crypto
I invest a lot of time in data storage and synchronization tools (i'm a fan of immutable stores) , but i know very little about crypto. I'd like to know enough to be able to confidently use existing tools to encrypt data at rest, transit, pub/priv key, etc. Would this course give me such a foundation to achieve this?
But then you probably shouldn't trust my opinion, because I'm not a domain expert (although I have been involved in security design together with people who are domain experts), and whatever understanding I had is probably somewhat rusty by now .
Dr Barbara Oakley’s “Learning How to Learn” [0] is great. Edit: It gives an important understanding on how our minds function and how we learn, which, I think, forms the basis of effective work. Knowing how to work, and being an effective learner are incredibly important qualities in life. [0] https://www.coursera.org/learn/learning-how-to-learn
I don't know... I would summarize it as: - You will get good at anything given enough practice, so don't worry about thinking you're bad at X - As you get good at X, you will start to like it - Pomodoro I'm over-simplifying of course, but I felt like the course provided a lot of concepts with very little actionable advice. It's a very popular course because it "feels good". It is motivating, and has a very positive m…
- Automata Theory by J. Ullman is also really good. It used to be on Coursera but is now on EdX (https://www.edx.org/course/automata-theory)
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What’s good about it?
You can get a sample out of her Google talk on YouTube. Basically the course tells you ideas about how to read/manage time to learn things more efficiently.
A lot of things in that course feels like it fairly obvious when you hear it, but often you might not have thought in those directions, and often it helps to get those things spelled out.
If I had had that course in my early teens that would have helped me a lot.
I have no idea how 'Machine Learning' from Ng is not mentioned. It's fine in teaching you introductory (although it seems to cover more basics than a lot of other courses do, somehow) ML. But more importantly, it's a well designed course. You can see how each piece uses previous pieces and how it solves problems and edge cases not covered earlier.
Interesting, I found the course disappointingly shallow. I did do it soon after it came out, maybe it got much better with time. I also have a background / job in statistics, though not ML as such. While it does talk through the basics of ML, it is really barely a taster. It doesn’t leave you with any skills, other than, if you buy a book and work through it, you will know what a “decision tree” is ahead of time. Wit…
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I would recommend skipping this one. It contains fairly obvious advice, the information density is low and it isn't delivered very well. I really don't know why it's recommended so often.
It is recommended often because Learning How To Learn is a very fundamental part of your skill set which, sadly, many people either lack or do sub-optimal. Precisely because of that it can contain "obvious" device; because you are already (partly) familiar with it. I find it rather arrogant to say its useless for everyone. Its a fairly quick course, where you can spend more time on aspects if you desire. This topic a…