3. What will I learn and how is it structured?

Q: 3. What will I learn and how is it structured?

The specialization is broken into three core courses : Supervised Machine Learning —covers regression, classification, neural networks. Advanced Learning Algorithms —deepens knowledge with regularization, optimization, multilayer networks via TensorFlow. Unsupervised Learning & Reinforcement Learning —includes clustering, PCA, recommendation systems, and RL intro. Internalized through hands-on Python labs with Jupyter notebooks, provided directly in-browser.

The specialization is broken into three core courses:
Supervised Machine Learning—covers regression, classification, neural networks.
Advanced Learning Algorithms—deepens knowledge with regularization, optimization, multilayer networks via TensorFlow.
Unsupervised Learning & Reinforcement Learning—includes clustering, PCA, recommendation systems, and RL intro.
Internalized through hands-on Python labs with Jupyter notebooks, provided directly in-browser.

3. What will I learn and how is it structured?

3. What will I learn and how is it structured?

2. Is it suitable for beginners?

4. How long does it take and how flexible is it?