Learning in Public 📚✨

Learning in Public 📚✨

A dedicated space to share my journey of learning, documenting courses, and taking notes :)


Current Course: Machine Learning Specialization

#BreakIntoAI with Machine Learning Specialization

Master fundamental AI concepts and develop practical machine learning skills in this beginner-friendly, 3-course program by AI visionary Andrew Ng.

Course Details

  • Instructors: Andrew Ng, Geoff Ladwig, Aarti Bagul (+3 more)
  • Taught by: Top Instructor Andrew Ng
  • Platform: Go To Course

What I'm Learning:

  1. Foundations of Machine Learning
  2. Supervised Learning (Regression, Classification)
  3. Unsupervised Learning (Clustering, Dimensionality Reduction)
  4. Neural Networks and Deep Learning
  5. Practical skills for real-world AI applications

My Notes

Course 1: Supervised Machine Learning: Regression and Classification

  • Key Concepts:
    • Supervised vs. Unsupervised Learning
    • Applications of Machine Learning
    • Importance of Data Quality
  • Notes:

Course 2: Advanced Learning Algorithms

  • Key Concepts:
    • Hypothesis Function: h_θ(x) = θ₀ + θ₁x
    • Cost Function: Mean Squared Error (MSE)
    • Gradient Descent Algorithm
  • Notes:

Course 3: Unsupervised Learning, Recommenders, Reinforcement Learning

  • Key Concepts:
  • Notes:

"AI is the new electricity." – Andrew Ng