Beginning with Machine Learning | Chapter 1 Walkthrough | Machine Learning with Python

📖 Machine Learning with Python: Principles and Practical Techniques
Chapter 1 Walkthrough – Beginning with Machine Learning

In this video, Dr. Parteek Bhatia walks you through Chapter 1: Beginning with Machine Learning, from his textbook published by Cambridge University Press.

🔑 Topics Covered in This Chapter

✅ What is Machine Learning?
✅ Real-world applications of ML
✅ Key definitions and concepts
✅ Types of Learning – Supervised, Unsupervised & Reinforcement
✅ Differences between ML, AI, Data Science & Deep Learning
✅ The scope and future of ML in industry & academia

This chapter lays the foundation of machine learning, making it an essential starting point for students, educators, and enthusiasts before diving into coding and advanced techniques.

📌 Resources

📖 Book page: Cambridge University Press – Machine Learning with Python

Machine Learning with Python | Cambridge Aspire website

Discover Machine Learning with Python, 1st Edition, Parteek Bhatia on Cambridge Aspire website

💻 GitHub Repo (Colab-ready notebooks): bhatiaparteek/ml_with_python

📚 Buy on Amazon India: Buy Now

🎓 Instructor Slides: Write to parteek.bhatia@gmail.com

👉 Next Video: Chapter 2 – Python Essentials: Building Your ML Foundation
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