How Machine Learning Differs from Traditional Machine Learning

If you are new to machine learning, you may be wondering how it differs from traditional machine learning. The term machine learning derives from the theory that computers are capable of learning. By examining a dataset, a machine can produce repeatable results by modifying its model based on the previous data. In other words, machine learning is an old science, but it is the core of self-driving cars. It can be used to train a new computer to drive itself.

Neural networks

A neural network is an algorithm that uses layers of neurons to model a problem. The neurons in the same layer or on different layers are linked by connections called weights. Each weight represents the strength of a relationship between the neurons. In neural network training, the goal is to reduce weight numbers so that the neural network can perform better. The learning rate of the neural network … Read More