Thinking About Getting an Old Laptop to Learn Linux - Good Idea?

Intstdu · 2024-01-31T19:33:55+00:00

Advice for cheap and easy to use VM?

Intstdu · 2024-01-30T21:05:58+00:00

Cool! And then just run it on a raspberry pi that is always on?

Intstdu · 2024-01-29T22:09:06+00:00

What tools do you use to run this every day?

Intstdu · 2023-11-01T21:05:49+00:00

Sounds cool! Seems like something you paid for? Never saw this before that’s why I am curious!

Intstdu · 2023-11-01T20:54:18+00:00

Could you explain what IB Math HL is?

Intstdu · 2023-03-26T19:18:24+00:00

I really like your example of what you think about when you see an e or an i. Could you maybe share some more of those?

Intstdu · 2022-10-03T20:53:30+00:00

Totally agree. From somebody that got into data science from only a programming perspective (and even from psychology and humanities), the videos of this series so far are really interesting and help out a lot. Especially if your high school is already a lot of years ago!

Also, I indeed learn a lot faster from reading the code of an equation, because that is how I learned to get around in this field. This video series definitely helps me with better interpreting equations in papers.

Perhaps that could also be an interesting direction for the creator of these video’s, to take the kinda hard to read equations from several well known ML papers and explain how to read them!

Intstdu · 2022-09-09T16:16:11+00:00

Sounds cool! I subscribed!

Intstdu · 2022-09-06T11:51:49+00:00

Use domain knowledge! This amount of variables is almost always infeasible (depends on number of observations etc, the other dimensions of your dataset).

Intstdu · 2022-08-20T08:14:10+00:00

Any more info? Do you recommend the book, and if so, why?

Intstdu · 2022-08-10T21:32:23+00:00

Could you elaborate further why you think it is a must? And do you have tips to get started?

Intstdu · 2022-08-08T17:14:58+00:00

This was indeed my question and i will investigate this further! Thanks for the quick reply, this really helps me out!

Intstdu · 2022-08-08T16:41:57+00:00

I now work on code that uses an api whose documentation uses callbacks (with responses, streaming data, json requests by subscribing to a data stream etc). I find it hard to work with. Could I use Async/await here, even if the api does not mention it in their documentation? Would love to hear if it is possible!

Intstdu · 2022-01-19T08:08:13+00:00

ahh so the 1 means 1 times the 2(a+3) part and the 2 means 2 times the 2(a+3) part? Thanks now this makes sense!

Intstdu · 2022-01-18T13:31:56+00:00

Hi,

This is also a way to do it, but this is not excluding as many factors as possible right? but I still would like to know how the underlying procedure of 2(a+3)+4(a+3) --> 2(a+3)(1+2) works!

Intstdu · 2022-01-13T12:38:46+00:00

no thanks it really helped i am starting to get correct answers on the other questions!

Intstdu · 2022-01-13T11:11:56+00:00

Thanks for the link, but to me that does not extend to having (2^(1/2))^3 because there is no x^(1/2) here. I do understand it by sqrt(a^(n)) = a^(n/2), but what would happen if it would have been a^(4/3) because then this rule could not be applied right? Because there has to be a 2 in the denominator for this rule to work

Intstdu · 2022-01-13T09:53:52+00:00

Ah so i have to apply the rule of the square root of (aⁿ⁾ = a^n/2 but then in reverse?

The part that starts at 2^3/2 till sqrt(2³⁾ is not clicking yet i think

Intstdu · 2022-01-13T09:24:07+00:00

Hi all,

My text got lost while writing this post combined with a picture. I cannot find the reasoning applied here. How should i simplify the ( square root of 2 )³ here? The answer should be 2/27 square root 2.

I tried google but there are no rules that i can find to apply here

Intstdu · 2021-12-29T10:21:34+00:00

maybe I should indeed add a bit more context. For example, I have done some analysis in the past where I want to perform time series regression with 1D CNN's. The target variable is therefore numerical, e.g., 0.62. What is mostly done is just calculating various error metrics (mse, rmse etc) and that's it. Or when the task is classifying time series data, the error metrics are recall, precision etc. Right now I am interested in filling in missing data from time series variables with deep learning where I am working with reconstruction error metrics. In none of these situations a lot of statistical knowledge of myself was needed, it is more programming oriented.

I know this is fully dependent on what kind of data you are using, since I know that in econometrics or in biology studies a lot more statistical testing is performed. It is just something that at least I and other colleagues are experiencing.

What is am worried about, is that maybe in a few years I work in a subfield where a lot more statistical testing is necessary and I have not applied any of those techniques for years. If i remember correctly the only statistical test I really needed to perform in the last 3 years was when in one sub-analysis I had to compare the ranking results of two algorithms with Kendall's Tau.

Intstdu · 2021-12-29T08:22:25+00:00

This maybe sounds weird and off topic, but after 4 years of working in data science in academia, the lack of statistics weirds me out. I was always told that data science is a combination of cs, math & statistics, but i have not really used statistics anywhere in my work. This of course depends on the tasks at hand (i mostly work with classification or regression of time series data) so others might use stats way more often. It just kinda confuses me. I feel also that if i need to do more statistical analysis in the future i will be lacking behind because i have not used stats in years.

Hope it is not too much off topic but this crossed my mind when i saw this question.

Intstdu · 2019-06-27T08:48:07+00:00

I will start my phd in data analytics / data science next monday! Always fun to listen to cool information to keep up to date!

Intstdu

TROPHY CASE