opensandwich

100% agree, bring back LAN messenger, and p2p 'things'. I remember when Opera browser had the 'fridge' which was cool as well (Opera Unite).

Theres definitely ideas here worth exploring for sure.

As an extra data point, I have exactly the same issue on a M1 Max as well.

They gave me 2 queens to start with on my second attempt

Try the pickaxe

Wow, this is a wild ride. I remember coming across this page because the author was from my alma mater and we were pursing the same (undergrad) degree. At the time, we could do a double major in Pure Mathematics and Statistics so long as we completed the coursework requirements, which is probably why that page even exists.

The page is ~15 years old now, and I think it should be read as though its written by a 22 yr old, more reflecting on their recent university education than a guide to how to become a working mathematician.

---

With that note, I would say if someone is eager to engage in mathematics and statistics _at an undergrad level_ (at the time at my university, it was _unusual_ for people to pursue machine learning as a major, and it was in computer science school). I would recommend really focussing on Real Analysis, and the higher statistics courses, try to find the links and the commonality between the proofs and the key ideas. I would also tell myself to not to shy away from martingale theory and link it to measure theory.

Pure mathematics is a weird world. In the moment I hated myself for choosing it in undergrad, it absolutely tanked my grades because of the weird mental state I was in. At the same time when I got to my PhD/research everything starting really started to click. It's immensely difficult to digest and consume all the content in the 12-14 odd weeks that the coursework typically demands.

As someone who isn't particularly well-versed in Bayesian "stuff". Does Bayesian non-parametric methods fall under "uninformative" + "iteration" approach?

I have a feeling I'm just totally barking up the wrong tree, but don't know where my thinking/understanding is just off.

Another actuary checking in from Institute of Actuaries Australia - I'm a "qualified" actuary (associate level) who decided to not even try for the fellowship exams and instead change course completely and do a PhD in Machine Learning.

No one outside of the actuarial industry cares or really knows what it means to be an actuary. Having an actuarial background in non-traditional actuarial areas is almost more of a curse than a blessing as people don't really know what to do with you. Furthermore actuaries seem to demand a premium for a cohort that don't have strong enough grounding to do ML research or enough development chops to be an ML engineer. So you end up competing with other people in the data science field...It really is a weird position to be in.

I agree - it looks equivalent to perhaps 1st year mathematics in Australian university or 2nd year 1st semester if I'm being really generous.

This definitely isn't sufficient for machine learning, but it is a start.

h2o.ai doesn't really do data pipelines, though it does appear they are eager to go into this space through their new driverless.ai tool. However this does not appear to be open source.

I have finished the OMSCS program and in some ways I have mixed feelings about it. My background has been primarily in mathematics/statistics and I didn't come from a "tradition CS" educational background.

Did I learn a lot?

I learnt a ridiculous amount. For the time+dollar investment it is amazing. The program is definitely not easy either.

It has been amazing to learn the concepts in ML (Dr. Isbell) and AI (Dr Starner) courses and then a few weeks later think "I think I can actually use these concepts in my workplace".

Why the mixed feelings?

Not all courses had the same quality to it. From the top of my head, AI, ML were probably the best 2 courses. Other well ran courses I would add was computational photography, edutech, introduction to infosec (besides the rote learning...), however some of the other courses I had a relatively negative experience.

The degree does suck up a lot of time and I would say it is the real deal.

Knowing what I know now I can't say 100% that I will "re-do" OMSCS - to be fair on GaTech I'm not sure whether the challenges that I feel above are due to an online program and I personally would be more suited to an in-person program but the experience has definitely been better than Udacity's nanodegree and any MOOC which I have sat.

Overall I would say if you do it for the sake of learning and that alone - OMSCS is worth it. For any other reason please don't do it.