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:
- Foundations of Machine Learning
- Supervised Learning (Regression, Classification)
- Unsupervised Learning (Clustering, Dimensionality Reduction)
- Neural Networks and Deep Learning
- 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
- Hypothesis Function:
- Notes:
Course 3: Unsupervised Learning, Recommenders, Reinforcement Learning
- Key Concepts:
- Notes:
"AI is the new electricity." – Andrew Ng