Vinay

Heyy Tech Twitter, My name is Vinay and I'm a 2nd yr CSE student. I'm really passionate about ML, fitness and Computers & tech in general. Starting my #100DaysOfCode/#100daysofml journey from today and will share what I learn in ML and DSA daily here. Lets connect. 🙂✌️

It's really hard for me to study at home, had to spent whole day at my family shop and other works, but can't stop learning coz it feels like it's my only chance to get outta this place and change my life a lil bit..

#100DaysOfCode/#100DaysOfML day 70 ML - started a lab on "neural network with two layers" DSA - solved 'insert at bottom of stack', 'reverse stack', 'sort stack' (all using recursions) #LearnInPublic #DSA #Numpy

#100DaysOfCode/#100DaysOfML day 69 ML - completed an assignment on "optimization in neural networks and Newtons method" and calculus revision. DSA - 'reverse string using stack', 'insert in middle of stack', and 'invalid parantheses' problems(brute force) #LearnInPublic #DSA

#100DaysOfCode/#100DaysOfML day 68 ML - completed a numpy lab on "optimization using Newtons method" and compared newtons method with gradient descent DSA- solved "two stacks in array" problem Gym - Chest and Triceps #LearnInPublic #numpy

#100DaysOfCode/#100DaysOfML day 67 ML- completed a numpy lab on "Classification with perceptron" where i learned to classify a dataset into two groups. DSA- Stack basics Gym- Pull day (posting after a long time bcoz of endterms but will repay the break debt with interest❤️🫡)

@EdehPromise91 Fuck off bot😠

@init_vinay This is clean, how long have you been coding?

#100DaysOfCode/#100DaysOfML day 66 ML - completed the lab on "Perceptron with Regression" where I created a simple neural network model to implement linear regression and trained it. Clg work- learned indexing in DBMS for endterms Gym- Chest and Triceps #Numpy #LearnInPublic

also watched this video on how LLM's believe they are giving us the answers using logic vs. how they are actually getting the answers by advanced autocompletion youtu.be/-wzOetb-D3w?si… @skdh

didn't post for last few days coz my end terms are going on and I've also got cold and literal insomnia from a week, I did revise statistics in these days but let's not count that and hope the sleeping pills work✌️

#100DaysOfCode/#100DaysOfML day 65 ML - started a numpy lab on "Regression with Perceptron" and gave a quiz on gradient descent Clg work - gave an exam, learned normalization in DBMS for end term exams #Numpy #LearnInPublic

also watched an amazing amazing video titled "The 35 year history of ChatGPT" which explains decades of history of the development of LLM's diden't understood much tbh but felt inspired to learn more. Link: youtu.be/OFS90-FX6pg?si…

#100DaysOfCode/#100DaysOfML day 64: ML - completed a lab on "Optimization Using Gradient Descent", where I built a linear regression model for prediction using different approaches like numpy, SciKit-Learn, as well as bulding the model using gradient descent from scratch. #Numpy

#100DaysOfCode/#100DaysOfML day 63 ML - completed a lab on "Optimizing functions of One Variable" where I created a loss function for a real dataset and minimized it using derivatives Clg work - gave RDBMS exam Gym- Legs & Shoulders #LearnInPublic #Numpy #ML #JAX

#100DaysOfCode/#100DaysOfML day 62 ML - gave a simple quiz on derivatives on optimization. Clg work - studied functional dependencies and normalization for clg RDBMS exam Gym- Chest and Triceps #LearnInPublic

#100DaysOfCode/#100DaysOfML day 61 ML - Finished the NumPy lab on "differentiation in Python", covered symbolic(SymPy), numerical (np.gradient), and automatic differentiation (JAX,grad, vmap), and their computational efficiencies Gym- Back and biceps #Numpy #JAX #LearnInPublic

#100DaysOfCode/#100DaysOfML day 60 ML - calculus revision start, 1 small calculus quiz, started a numpy lab on Differentiation in python and understood the use of symbolic computation using the python's sympy library. #Numpy #MachineLearning #LearnInPublic

community notes are public-sourced fact-checking. they must remain. fact-checking should not be owned by propagandist websites. govt is utterly stupid to even think about banning them.

Don’t do this. When you’re already in a pit, stop digging. People can tolerate poor governance, but not such blatant censorship. Instead, form a think tank and introspect on why you’re getting community-noted lately. I’ll give you a hint: it can’t happen unless your traditional supporters are turning against you. Anyone can write community notes. They don’t go live and appear on posts unless people across different ideological perspectives upvote them. Before the UGC equity issue, your supporters downvoted community notes against you, even when those notes had some merit, but now they’re not. They are actively upvoting them. So introspect and make corrections. That’s the only way forward. Turning a blind eye and handling it with arrogance will only make things worse for you.

#100DaysOfCode/#100DaysOfML day 59 ML - completed the numpy lab on PCA where I compressed 4096-dim images to as low as 2D, reconstructed them, and understood explained variance & dimensionality trade-offs. Gym -Chest,triceps linear algebra course fully completed! #LearnInPublic

#100DaysOfCode/#100DaysOfML day 58 ML - revised PCA notes and worked on the NumPy lab on PCA, got deeper on exploring how images are stored as pixel matrices and flattened into vectors. Didn’t finish the lab but got better clarity. Gym - Back, biceps, forearms #LearnInPublic #ML