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​Day 1/60: From Scratch to Deep Learning 🧠 ​I’m Anuj Tongse, a 2nd-year BTech student, and today marks the start of my 60-Day Deep Learning Challenge. > The goal? To move beyond the basics and truly understand the architecture behind the AI revoluti

Day 7/60: " Machine has 7 letters " " learning has 8 " You guys better know the reason My name is Anuj Tongse and after the pivot from Deep learning to machine learning Today's updates are here:- The Al Machine Learning Challenge continues! Today

Day 8/60: Batch vs. Online Learning! Good morning everyone my name is Anuj Tongse and today is day 8/60 of AI machine learning challenge The AI Machine Learning Challenge continues! Today was a deep dive into how models digest data. 🧠 ​The Break

Day 2/60: Jab I met Perceptron I’m Anuj Tongse, and for Day 2 of my Deep Learning challenge, I went back to the very beginning: how nature inspired the machines. ​Today’s deep dive: The Applications of Deep learning like :- Self Driving Car

Day 5/60: Perceptron X Multi layer perceptron✓ Good morning everyone, My name is Anuj Tongse and this is day 5/60 of understanding Ai Deep learning. Today I officially moved from the "Perceptron" to the Multi-Layer Perceptron (MLP). Why does this

🧠 *Technologies for Data Science, Machine Learning & AI!* part 1 📊 *Data Science* ▪️ Python – The go-to language for Data Science ▪️ R – Statistical Computing and Graphics ▪️ Pandas – Data Manipulation & Analysis ▪️ NumPy – Numerical Computing ▪️

What do you think is your biggest mistake in interviews? We’ve all been there. 😅 Let’s normalize the learning curve and help each other improve.

This 100-page book is literally the fastest way to understand deep learning

Old is Gold: Deep Learning Classics In the fast-paced world of AI, it’s easy to overlook the timeless gems that laid the foundation for modern deep learning. Here’s a curated list of classic, high-quality courses taught by pioneers of the field tha

Day 3/60: "Perceptron ek Jugaad " Good morning my name is Anuj Tongse and, Today is day 3 of understanding Ai Deep learning Today was all about the "Perceptron jugaad(trick)" :-the actual mechanism that allows a model to learn from its mistakes. I