Programming Machine Learning

What You Just Learned

Let’s recap our first adventure in machine learning:

• In Chapter 1, ​How Machine Learning Works​, we learned what machine learning and supervised learning are.

• In Chapter 2, ​Your First Learning Program​, we got our first concrete taste of supervised learning: we used linear regression to predict one variable from another.

• In Chapter 3, ​Walking the Gradient​, we upgraded the learning program with a faster and more efficient algorithm: gradient descent.

• In Chapter 4, ​Hyperspace!​, we took advantage of gradient descent (and a bit of matrix magic) to implement multiple linear regression—like linear regression, only with multiple inputs.

• In Chapter 5, ​A Discerning Machine​, we leapt from multiple linear regression to classification ...