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This notation doesn't require graduate-level statistics knowledge, it's more like stuff that would be covered in a first mathematical course on probability and

by jey 2y ago

This notation doesn't require graduate-level statistics knowledge, it's more like stuff that would be covered in a first mathematical course on probability and statistics. It's totally practical to learn this stuff on your own from videos, books, and PDFs. First you need to get a solid conceptual grasp on probability distributions and their associated concepts like random variables, conditional probability, and joint probability. Then you'll be ready to learn some mathematical statistics and follow along with all the notation. Note that you don't need to go deep into measure-theoretic probability or any of that stuff that requires more advanced prior education in math.

PittleyDunkin 2y ago
> This notation doesn't require graduate-level statistics knowledge, it's more like stuff that would be covered in a first mathematical course on probability and statistics. My courses definitely used different notation for the same semantics.
user_7832 2y ago
> This notation doesn't require graduate-level statistics knowledge, it's more like stuff that would be covered in a first mathematical course on probability and statistics. Perhaps a first course at grad level, but my engineering bachelors covered MLEs but we didn’t learn/use any of those formal language things. I think the core mathematics (and likely other pure science) cohorts were the only people who learnt it.
- defrost 2y ago
  I slowly transfered out of Trad. Engineering (Civil/Mech/Electrical/Electronic) pretty much because Engineering Math, Chem, and Physics units were almost all "learn these results and how to apply them" and little to no "these are the underpinings of these results". It took six months for Math 100 (Maths for wanna be mathematicians) to "catch up" with the applications being spat out in Math 101 (Maths for people that practically use math for applications) but by the time the foundations were laid almost all the applied math in the Engineering coursework results just became "an exercise for the reader" to derive without need for rote memorisation.
  - 082349872349872 2y ago
    Some balls bases' have arity, bounded more or less / But when they've finite measure, they're the balls that I like best
PunchTornado 2y ago
I took stats courses and didn’t see that notation before. And yes, looks cryptic.

by jey 2y ago

PittleyDunkin 2y ago

> This notation doesn't require graduate-level statistics knowledge, it's more like stuff that would be covered in a first mathematical course on probability and statistics. My courses definitely used different notation for the same semantics.

user_7832 2y ago

> This notation doesn't require graduate-level statistics knowledge, it's more like stuff that would be covered in a first mathematical course on probability and statistics. Perhaps a first course at grad level, but my engineering bachelors covered MLEs but we didn’t learn/use any of those formal language things. I think the core mathematics (and likely other pure science) cohorts were the only people who learnt it.

defrost 2y ago
I slowly transfered out of Trad. Engineering (Civil/Mech/Electrical/Electronic) pretty much because Engineering Math, Chem, and Physics units were almost all "learn these results and how to apply them" and little to no "these are the underpinings of these results". It took six months for Math 100 (Maths for wanna be mathematicians) to "catch up" with the applications being spat out in Math 101 (Maths for people that practically use math for applications) but by the time the foundations were laid almost all the applied math in the Engineering coursework results just became "an exercise for the reader" to derive without need for rote memorisation.
- 082349872349872 2y ago
  Some balls bases' have arity, bounded more or less / But when they've finite measure, they're the balls that I like best

PunchTornado 2y ago

I took stats courses and didn’t see that notation before. And yes, looks cryptic.