AI, ML & Deep Learning: A Beginner’s Journey (Part 1: Introduction to AI)
Explore the fundamentals of AI, its real-world applications, comparison with human intelligence, and its limitations.
Apr 6, 20263 min read57
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Series
AI, ML & Deep Learning: A Beginner’s Journey
A step-by-step journey through AI, Machine Learning, and Deep Learning, covering concepts, applications, and practical insights.
Part 2: Introduction to Machine Learning
A simple and practical guide to understand how machines learn from data and make predictions.
Apr 15, 20264 min read22
Part 3: Types of Machine Learning
Understanding how machines learn from data using different approach
Apr 22, 20264 min read9
Part 4: Regression vs Classification: How Machines Predict & Decide
Breaking down the core techniques of supervised learning with real-world examples
Apr 30, 20264 min read16
Part 5: Understanding Datasets: The Building Blocks of Machine Learning
Learn how data is structured using samples, features, and labels—the core components that power every machine learning model.
May 6, 20263 min read8
Part 6: Data Preprocessing: The Foundation of Every ML Model
Exploring the essential steps used to clean and prepare data before training Machine Learning models
May 14, 20265 min read5