So-called machine learning

What is machine learning?

Many people who have touched the field of machine learning are more or less aware of the common algorithms used in machine learning, but the knowledge of machine learning is not clear. Find the relevant information today and summarize the relevant concepts of machine learning.

Machine Learning (Machines learning, abbreviated ML): For a given task T, a computer program can learn the task T's experience e independently of the reasonable performance metric p; With the provision of appropriate, high-quality, large amount of experience E, the program for task T performance gradually improved. Therefore, the object of machine learning is mainly ① task Task,② experience Experience,③ performance performance.

In addition, more generally speaking, machine learning is a branch of artificial intelligence. The machine learning operation steps are: first, we use the computer to design a system, so that it can according to the training data provided in a certain way to learn; second, with the increase of the number of training, the system can also continue to learn and improve performance; Thirdly, the learning model with parameter optimization can be used to predict the output of related problems. Driverless cars, new word discovery, etc. all have machine learning applications.

Generally, the mathematical basis of machine learning mainly includes: statistics, probability theory, linear algebra, convex optimization, function derivation in higher mathematics & gradient & Taylor expansion, information theory and so on. Commonly used machine learning tools include Python, R, Mahout and so on.

The common classical algorithms of machine learning include linear regression, EM algorithm, support vector machine, Bayesian network, Hidden Markov and so on.

Supplement: Artificial Intelligence (artificial intelligence, referred to as AI), is a branch of computer science, it is a human consciousness and thinking of the information process simulation, artificial intelligence is not human intelligence, but can think like people, but also may be more than human intelligence. AI contains machine learning. Machine learning and artificial intelligence, machine learning can be regarded as a means of realizing artificial intelligence.

So-called machine learning