What is machine learning?
Machine learning is a discipline (a branch of artificial intelligence) that focuses on automatic model building. Machine learning algorithms allow us to automatically find patterns or a hierarchy in data (unsupervised learning), or even predict the property of a given sample after training on the prepared "training" dataset (supervised learning).
What is the difference between supervised and non-supervised learning?
Unsupervised learning algorithms operate on any given dataset with no special preparation required and aim to find patterns or structures without any prior knowledge. Supervised learning models are trained on a properly labeled "training set," which they do by building a generalized model, and then are able to infer values for the new data samples it hasn't seen before.
What are the drawbacks of k-means...
