Debstuti Das

449 subscribers

74 videos

Welcome! Your one-stop destination for mastering DSA, System Design, AI, and Math — all in one place. 👨‍💻 Whether you're preparing for top tech interviews, b...

Latest Videos

What Makes Neural Networks Intelligent

Why Neural Networks Fail to Learn (Vanishing & Exploding Gradients)

Batch Normalization What It Actually Does (Beyond the Myth)

Dropout Regularization Explained Simply Prevent Overfitting in Neural Networks

Adam Optimizer Explained 🔥 The King of Deep Learning Optimization 🚀 Momentum + RMSProp

RMSProp Optimizer Explained Clearly 🔥 Deep Learning Optimization Series

AdaGrad Optimizer Explained Adaptive Gradient Algorithm in Machine Learning

Momentum Optimization Explained – Convex Combination View Deep Learning Math Part 2

Momentum Optimizer Explained Why Momentum Speeds Up Gradient Descent

Epoch, Batch & Iterations Explained in 5 Minutes Deep Learning Basics

Batch vs Stochastic vs Mini-Batch Gradient Descent (Visual Guide)

Underfitting & Overfitting in Machine Learning – Easy Explanation for Beginners

NLP Feature Extraction Explained One-Hot, BoW, TF-IDF, Word Embeddings & Transformers

Feature Extraction in Computer Vision Traditional vs Deep Learning Explained

Feature Extraction Explained Traditional Machine Learning vs Deep Learning

Backpropagation in Deep Learning Gradients, Chain Rule & Training

Activation Functions in Neural Networks ReLU, Leaky ReLU, Sigmoid, Tanh, Softmax Explained

From Linear Models to Neural Networks Why Hidden Layers Matter

Principal Component Analysis (PCA) Explained Simply Intuition, Math & Visualization

How K-Means Clustering Works Intuition, Optimization, Elbow Method & WCSS

Multiclass Classification Explained Softmax, OvR, Loss Functions & Examples

Logistic Regression in Machine Learning Intuition, Math & Visualization

Spam Classifier Using Naive Bayes Real Example + Laplace Smoothing

Naive Bayes Classifier in Machine Learning Intuition, Math & Examples

K-Nearest Neighbors (KNN) Algorithm Explained Visually Intuition, Math & Examples

How Machines Learn The Story of Gradient Descent Explained Simply

Linear Regression Through a Probabilistic Lens Understanding Maximum Likelihood Estimation

Master Linear Regression Machine Learning Made Easy

Machine Learning Basics Explained in 10 Minutes Beginner-Friendly Guide

Amazon System Design Questions You Must Know for Interviews