Machine learning is the ability to extract useful information from the disorderly data tools, and machine learning are learning and extract useful information from data, improving the performance of the machine,
For data collection, called the divided into training data, machine learning basic learning rule from these data, using learn rules to predict the new data,
According to different tasks, can be divided into: supervised learning and unsupervised learning, a semi-supervised learning, enhance learning,
Supervises the training of learning data contains the category information, typical problems with classification and Regression, the typical algorithms are: Logistic Regression and BP neural network algorithm, linear Regression algorithm,
Unsupervised training data does not contain any category information, typical problems are: clustering, on behalf of the algorithm is: K - Means algorithm DBSCAN algorithm,
