Author(s): Sandiip AI Researcher Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium.Audience: Student, Technical, Business & other Industry LeadersWelcome back! In Part 1 of our series Generative AI Tutorial for Beginners, we provided a detailed and comprehensive introduction to Artificial Intelligence.If you havent had a chance to read it yet, heres the link to the first blog post:Generative AI Tutorial for Beginners Part 01: Introduction to AIHere is a visual representation of Machine Learning generated by artistNow we will deep dive into second part 02 Generative AI Tutorial for Beginners Part 02: Understanding Machine Learning.Definition: What is Machine Learning? History of Machine LearningMachine Learning EcosystemTypes of Machine LearningMachine Learning AlgorithmMachine Learning (ML) is a branch of Artificial Intelligence (AI) that enables systems to learn and improve from experience without needing explicit programming. Rather than being given step-by-step instructions, ML systems: Analyze data, Identify patterns, and Make predictions or decisions based on that data.At its core, machine learning teaches computers to make accurate predictions or smart decisions using data. Here are some real-world examples of what ML can do: Predict house prices based on location, size, and number of bedrooms. Recognize objects in images Read the full blog for free on Medium.Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor. Published via Towards AI