Summary Beginner’s Guide to Artificial Intelligence & Machine Learning with Real-World Examples – Foundational Concepts, Tools, and Applications Explained Simply

“Beginner’s Guide to Artificial Intelligence &
Machine Learning with Real-World Examples”

, 📑 Table of Contents


1. Introduction to AI and ML

 What is Artificial Intelligence?
 What is Machine Learning?
 Differences between AI, ML, and Deep Learning

2. History and Evolution

 Brief history of AI and ML
 Key milestones

3. Types of AI

 Narrow AI
 General AI
 Super AI (conceptual)

4. Types of Machine Learning

 Supervised Learning
 Unsupervised Learning
 Reinforcement Learning

5. Common Algorithms

 Decision Trees
 Linear Regression
 K-Nearest Neighbors
 Neural Networks

6. Applications

 AI in healthcare, finance, education, etc.
 Real-life examples (e.g., Siri, Google Translate)

7. Benefits and Challenges

 Advantages of AI and ML
 Ethical concerns and limitations

8. Future of AI and ML

 Emerging trends
 Career opportunities