Machine Learning

Definition

An area of computing that begins with structured data as inputs, a model to train this data, and the discover of patterns in the data set, often to generate outputs based on these patterns.

What is the difference between AI, ML, and DL?

ML (machine learning) is a subset of AI (artificial intelligence).

DL (deep learning) is a type of machine learning in which commonalities and differences in a data set can be inferred without explicitly labeling or categorizing these differences. Deep learning is considered an “unsupervised” machine learning technique.

What is the main purpose of Machine Learning in laymen terms?

The purpose is to discover relationships, patterns, and probability in data sets and offer solutions based on these relationships.

What are the 4 basics of machine learning?

The four types of machine learning include:

1. Supervised Learning
2. Unsupervised Learning
3. Semi-supervised Learning
4. Reinforcement Learning