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Showing 25–36 of 45

25
Deep Learning
RNN & LSTM Explained for Time Series Forecasting
Learn how RNNs and LSTMs understand sequence data and use past information to make predictions, with simple examples from stock prices and weather forecasting.

This month

Last 30 days

Akanshu Dutt · Aug 24, 2026 · 22 min read

Machine Learning

XGBoost vs LightGBM for Beginners: How Gradient Boosting Really Works

Confused between XGBoost and LightGBM? Learn how gradient boosting works step-by-step and discover which algorithm fits your data for maximum accuracy.

Akanshu Dutt · Aug 6, 2026 · 18 min read

Machine Learning

Reinforcement Learning: A Practical Guide with Real Examples

Ever wondered how AI learns through trial and error? Explore Reinforcement Learning with real-world examples—from Milo the robot navigating a maze to AlphaGo and autonomous vehicles

Akanshu Dutt · Jul 30, 2026 · 32 min read

Machine Learning

Semi-Supervised Learning with 90% Unlabeled Medical Images

Medical AI projects often have thousands of useful scans but only a small number of expert-reviewed labels. Through Rohan and Dr. Meera’s hospital project, this guide explains how semi-supervised learning uses 10% labele

Akanshu Dutt · Jul 31, 2026 · 23 min read

Machine Learning

Linear Regression for Beginners: How It Works with Simple Examples

Linear regression is one of the simplest ways to understand how one value changes with another. This beginner-friendly guide explains the core idea, equation, best-fit line, residuals, evaluation metrics, real-world exam

Akanshu Dutt · Aug 3, 2026 · 23 min read

Machine Learning

Feature Engineering in Machine Learning: A Beginner’s Guide

Learn feature engineering in machine learning with simple, real-life examples. Understand how to handle missing values, scale data, encode categories, create useful features, and avoid data leakage.

Akanshu Dutt · Aug 11, 2026 · 21 min read

Machine Learning

Precision, Recall & F1 Score Explained with Simple Real-Life Examples

Accuracy can be deeply misleading in imbalanced datasets. This guide breaks down Precision, Recall, and F1 Score using simple real-world examples like fraud detection and medical screening, so you can easily choose the r

Akanshu Dutt · Aug 13, 2026 · 17 min read

Deep Learning

Autoencoders & Denoising Autoencoders Explained

Learn autoencoders through simple real-life examples, from cleaning noisy photos to finding unusual patterns in data.

Akanshu Dutt · Sep 2, 2026 · 22 min read

Machine Learning

Decision Tree vs Random Forest: Beginner’s Guide with Examples

Learn how decision trees and random forests work through simple explanations, step-by-step logic, real-life examples, key differences, overfitting, bagging, and practical machine learning uses.

Akanshu Dutt · Aug 5, 2026 · 21 min read

Artificial Intelligence

How AI Learns From Data: A Beginner’s Guide to Machine Learning

AI learns from data by finding patterns, making mistakes, and improving through training. This simple guide explains the process with real-life examples.

Akanshu Dutt · Aug 17, 2026 · 20 min read

Deep Learning

Activation Functions: ReLU, Sigmoid & Softmax

Learn ReLU, Sigmoid, and Softmax with simple real-life examples and understand which activation function to use in a neural network.

Akanshu Dutt · Aug 21, 2026 · 20 min read

Artificial Intelligence

What Is Machine Learning? Types, How It Works & Uses

Learn what machine learning is in simple words. Discover its 4 main types, step-by-step lifecycle, real-world examples, pros, cons, and future trends.

Akanshu Dutt · Jul 27, 2026 · 27 min read

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