Advice for Applying Machine Learning

What to try next? More samples? Smaller sets? More Complex features? Decreasing Lambda?

We will learn to use Test Sets and Cross Validation Set.

In this lesson is presented the powerful tool Bias vs. Variance.

Machine Learning System Design

Building a Spam Classifier, with this example we will learn to Prioritize what to work on and the Best use of our time.

Plotting learning curves will help us to grade our work and pivot our working path.

We will also learn to use a method for Error Analysis. Developing intuition with samples related to errors. Numerical evaluation would be an important tool for us.

For Skewed Classes we will get Precision and Recall. F1 Score measures the trade off between them.