Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic ...

They play out the concept with one of the simplest machine-learning algorithms, known as k-nearest neighbors (kNN), which classifies objects using a graphical approach. To understand how kNN works ...

In supervised learning ... other hand, kNN can find very complex patterns, but its output is more challenging to interpret. To illustrate both algorithms, we will apply them to classification ...

You’ll notice that there is some overlap between machine learning algorithms for regression and classification. A clustering problem is an unsupervised learning problem that asks the model to ...

Now that you have a solid foundation in Supervised Learning, we shift our attention to uncovering the hidden structure from unlabeled data. We will start with an introduction to Unsupervised Learning.