A simple introduction to machine learning algorithms.
As the team (Big Data Team) technology development needs, through the traffic business data needs to expand, to achieve data mining and data analysis technology mastery, bypassing the machine learning algorithm, it can be said that the core value of big data lies in the algorithm.
For example, the current machine learning according to the task type can be divided into supervised learning and unsupervised learning, the difference is whether you tell the program a label, or answer, a clear standard of judgment.
For example, training a program to determine whether the animal in the picture is a dog, training sample input at the same time, will be told by the program this picture is not a cat, this is the answer to learning;
Conversely, if you only enter some pictures, but did not tell the program picture is a cat, let the program itself according to the characteristics of the image classification to identify, that is no answer to the study.
There is supervision and ....
Getting Started with machine learning algorithms