Added Two New Questions(Probability + ML)

[Jeet009]

Hi, @moe18. Please take a look at these two questions. Previously, it was not added; it might be an issue from my end.

[Open-Deep-ML]

looks good had one small comment, also could you change the numbers to 184 and 185

[Open-Deep-ML]

use regular " the ones you used dont render properly on the site

[Jeet009]

Hi, I have changed the file names. Please take a look.

[Jeet009]

use regular " the ones you used dont render properly on the site

I have fixed this issue, but the problem is, it is difficult to understand what the portal is expecting. I'm following standard markdown format. I see multiple problems in the images you shared.

[Open-Deep-ML]

looks really good< I have deployed question 184, the learn section for 185 needs some improvement

[Open-Deep-ML]

would you be able to expand more on this learn section first teach the user the formula and the ideas behind it and then show an example like you have done

[Jeet009]

Hi @Open-Deep-ML, I have updated the changes. In the learn section, I have added the formula explicitly, which might lead the user directly to the solution. In case you want to remove that, please go ahead. The formula section looks like this - Quadratic formula reminder:
For aK² + bK + c = 0, the solutions are K = [−b ± √(b² − 4ac)] / (2a).

[Open-Deep-ML]

make sure to change this number as well

[Open-Deep-ML]

make sure to change this also

[Open-Deep-ML]

also just want to make sure this is the correct profile, because it is different than the one you submitted the question from

[Jeet009]

Sorry about this, I attached an old account ID. I will change this. Also, improve the learn section. I understand it needs more clarity. Thank you. And I will be more alert while making PR next time.

[Jeet009]

This is my actual profile link - https://github.com/Jeet009

[Jeet009]

@Open-Deep-ML, please take a look at the updated version. This should be okay. If you like this approach, I will continue to keep the format like this. Please use the most recent commit. Thank you.

[Open-Deep-ML]

here are the rules for the learn section and how to create formulas, also currently we do not render charts on the site

Writing Mathematical Expressions with LaTeX

This editor supports LaTeX for rendering mathematical equations and expressions. Here's how you can use it:

1. Inline Math:

   • Wrap your expression with single $ symbols.
   • Example: $E = mc^2$ → Renders as: ( $E = mc^2$ )

2. Block Math:

   • Wrap your expression with double $$ symbols.
   • Example:

     $$
     \int_a^b f(x) \, dx
     $$
     

     Renders as:
     $$
     \int_a^b f(x) , dx
     $$

3. Math Functions:

   • Use standard LaTeX functions like \frac, \sqrt, \sum, etc.
   • Examples:
     • $\frac{a}{b}$ → ( $\frac{a}{b}$ )
     • $\sqrt{x}$ → ( $\sqrt{x}$ )

4. Greek Letters and Symbols:

   • Use commands like \alpha, \beta, etc., for Greek letters.
   • Example: $\alpha + \beta = \gamma$ → ( $\alpha + \beta = \gamma$ )

5. Subscripts and Superscripts:

   • Use _{} for subscripts and ^{} for superscripts.
   • Examples:
     • $x_i$ → ( $x_i$ )
     • $x^2$ → ( $x^2$ )

6. Combined Examples:

   • $\sum_{i=1}^n i^2 = \frac{n(n+1)(2n+1)}{6}$
     Renders as:
     $\sum_{i=1}^n i^2 = \frac{n(n+1)(2n+1)}{6}$

[Jeet009]

Hi @Open-Deep-ML, thanks for this. I have updated the notations in LaTeX format. Please take a look and let me know if this is fine now.

[Jeet009]

@Open-Deep-ML, Hi, I have added another question on ML. I noticed that Deep-ML doesn't have a Linear Regression problem using OLS, which is a closed-form solution that we all use when we start ML. This is the most beginner-friendly implementation. Please take a look.

[moe18]

I think this question is very similar https://www.deep-ml.com/problems/14

[Jeet009]

I think this question is very similar https://www.deep-ml.com/problems/14
Hi @moe18, yes, it is similar, but as a beginner, it is a bit difficult to differentiate between these two problems. Most of the time, we start solving Linear Regression by calculating the value of m by computing (x-x')(y-y')/(x-x')^2. So I thought it might be helpful. However, I understand if you don't want to add both very similar problems.

[Jeet009]

Hi @moe18, can you also please update if the other problems(pmf normalisation constant) seem fine to you?