But machine learning comes in many different flavors. In this post, we will explore supervised and unsupervised learning, the two main categories of machine learning algorithms.

x x and y y can by any type of value, not just numbers the function h h is called the hypothesis a learning algorithm can be thought of as searching through the space of hypotheses for a hypothesis ...

Self-supervised learning is crucial in bridging the gap between supervised and unsupervised learning techniques. It often involves pretext tasks derived from the data itself that assist in ...

Machine learning can be supervised, unsupervised, or semi-supervised. In supervised learning, models are trained on labeled data, meaning the input data is paired with the correct output.

While unsupervised learning increases the world model accuracy, an update from ChatGPT 3, 3.5 and 4o, Scaling reasoning⁠, on the other hand, teaches models to think and produce a chain of ...