The six lessons for Class 4 are now available on the course website:This class introduces some more advanced methods and techniques. The topics are:
- 4.1: Classification boundaries
- 4.2: Linear regression
- 4.3: Classification by regression
- 4.4: Logistic regression
- 4.5: Support vector machines
- 4.6: Ensemble learning
The last three are high-performance contemporary algorithms. I aim to give you a conceptual understanding of what they do and how they work, but not the gory details. You have to learn to live and work in a world where you don't understand everything. You will see some mathematics in Lessons 4.2, 4.3 and 4.5. But don't worry: I'll explain it, and anyway you don't have to fully understand the math.
Next week is the last. And it's short: Class 5 has only 4 lessons, not the usual 6. And it's more relaxed: no math at all.
cheers, and keep going!