Tech learning roadmaps…

[*Prince Charming]

4 hours ago, dasari4kntr said:

will ping you...once i come across about it anywhere..

Sure

[TOM_BHAYYA]

AI learning materials plz

[dasari4kntr]

8 hours ago, TOM_BHAYYA said:

AI learning materials plz

Check page 23 to 27....

I will update more on this topic once I am back...from trip..

[dasari4kntr]

 

[Spartan]

On 7/29/2023 at 12:23 PM, TOM_BHAYYA said:

AI learning materials plz

@TOM_BHAYYA https://pair.withgoogle.com/guidebook/

[dasari4kntr]

Linear Regression clearly Explained!🚀

Linear Regression models relationship between a dependant variable (y) & two or more independent variables (x1, x2 ...)

❗️For the sake of simplicity we discuss linear regression with a single independent variable.

Mathematical Representation:

y=mx+c

where:
- y is the dependent variable
- x is the independent variable
- m is the slope of the line
- c is the y intercept

Cost Function:

❗️The goal is to find the best values for m and c that minimize the error between the predicted values & the actual values for all data points.

This is how the cost function looks, a mean squared error:

MSE= 1/N∑(yi−(m*xi+c))**2

Where:

- N is the number of data points.
- yi is the actual value for the ith data point.
- mxi+c is the predicted value for the ith data point.

How it works (Optimisation)❓

To minimize the MSE, we can use gradient descent.

The basic idea is to:

- Start with some initial value of m & c
- Compute the gradient of the MSE w.r.t. both m & c.
- Update m & c in the direction of the negative gradient.

 

Implementation from Scratch:

Now that we understand how things work it's fairly simple to implement linear regression in Python!

Check this out👇 

That's a wrap, If you interested in:

- Python 🐍
- Machine Learning 🤖
- Maths for ML 🧮
- MLOps 🛠
- CV/NLP 🗣
- LLMs 🧠

Find me → 
@akshay_pachaar
 ✔️
Everyday, I share tutorials on above topics!

Cheers!🥂
 

[dasari4kntr]

https://hal.science/hal-03038776/document

 

https://github.com/AzatAI/cs_books/blob/master/Machine Learning with Python Cookbook (en).pdf

 

https://github.com/hejibo/Python-for-social-scientists/blob/master/Chapter 17. Social Network Analysis/Python for Graph and Network Analysis.pdf

 

https://handoutset.com/wp-content/uploads/2022/05/Statistics-and-data-with-R-an-applied-approach-through-examples-Yosef-Cohen-Jeremiah-Y-Cohen.pdf

 

https://cran.r-project.org/doc/contrib/Shipunov-visual_statistics.pdf

 

https://github.com/fadcrep/the-best-artificial-intelligence-books/blob/master/books/Artificial Intelligence with Python.pdf

[dasari4kntr]

may be this preparation could help little bit in interviews.

https://www.instagram.com/reel/CtYodd1rn2V/?utm_source=ig_web_copy_link

[PappuPakitmar]

QA testing

[csrcsr]

Excellent blog to tune your mindset for system design interview for long term prep if you have time, at least it gives a path

https://www.designgurus.io/blog/Mastering-the-System-Design-Interview-Complete-Guide?gclid=CjwKCAjwxaanBhBQEiwA84TVXEvFDHdbNMlP9tCCO0CI3A1RDofM54C6FFKTP9FSc42aNSRcokLmzhoCy0AQAvD_BwE

[enigmatic]

the courses in design gurus  i think are also part of educative.io 

[csrcsr]

Just now, enigmatic said:

the same courses i think are also part of educative.io. 

Yaa grokking famous bro epadi nincho undi but most of the system design subjective kada there is no correct or wrong straight answer , it's how we will make the two sentences answer to 45 minutes matters adiki connect avali aa points baga rasaru like how to layout your discussion

[enigmatic]

any resource for preparing for behavioral or amazon leadership type interviews?

 

TIA 

[dasari4kntr]

 

 

 

 

 

 

[dasari4kntr]

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