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Page 3 · This week

Showing 25–36 of 39

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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.

This month

Last 30 days

Akanshu Dutt · Aug 21, 2026 · 20 min read

Deep Learning

Loss Functions Explained: MSE vs Cross-Entropy

Learn how neural networks measure mistakes using MSE and cross-entropy, with simple examples that make regression and classification loss easy to understand.

Akanshu Dutt · Aug 26, 2026 · 21 min read

Deep Learning

Batch Normalization & Dropout Explained

Learn Batch Normalization and Dropout with simple examples and see how they improve neural network training and reduce overfitting.

Akanshu Dutt · Aug 27, 2026 · 22 min read

Deep Learning

U-Net Image Segmentation Explained

Learn U-Net image segmentation with a simple brain MRI example and understand how the model finds tumor regions pixel by pixel.

Akanshu Dutt · Sep 1, 2026 · 21 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

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

Machine Learning

Supervised Learning Explained: How Machines Learn From Labelled Data

Discover how supervised learning works with simple analogies, real-world examples like spam filters and credit default risk, key ML algorithms, and precision vs recall metrics.

Akanshu Dutt · Jul 28, 2026 · 25 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

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

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

Machine Learning

K-Fold, Stratified & Time Series Cross-Validation Explained Simply

Learn cross-validation in machine learning with simple examples. Understand K-Fold, Stratified K-Fold, Group K-Fold, Time Series CV, and common mistakes.

Akanshu Dutt · Aug 14, 2026 · 20 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

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