Data analysis is to analyze data, draw something conclusive, for decision-making. Analyze what what? According to the status quo analysis, analyze the causes and predict the future. Analysis of the current situation and cause analysis, requires a combination of business to explain. The technology is relatively simple to use, simple data analysis tool is Excel. Refer to predict the future is to analyze some time in sales and the like. In predicting the future, the general use of data mining technology.
Data mining , literally speaking, is to dig out valuable information from the data. For example, supermarket customers by spending records for a period of time can be found, which items are frequently purchased together customers. Well, you can put these items placed near the location of some or promotions together. Here, the customer's spending record is "data", "mining" information out of the commodity which is often purchased together. "Value" refers to the supermarket could then engage in promotion, increase sales of the supermarket. Digging out this valuable information is to courses to learn. Data mining concern is how some of the methods used in commerce, not purely theoretical and academic.
Machine learning , is to study how to make the computer to learn. Learn what what? According to some past fact, learning how to adapt to the new environment. Too white, and be serious! Machine learning, discipline is the study of algorithms, the study is how to make computer based on past experience to adapt to the new environment. Here, "past experience" refers to the historical data, "Adaptation" refers to the creation of a very fast hardware function of historical data, the "new environment" refers to input new data to this function, to produce a new Output. Machine learning is essentially a study of self-learning algorithm of science, these algorithms are self-help software and machine learning algorithms to solve the problem.
Neural network , is a model of machine learning algorithm, referring to simulate the human nervous system. As you know, people's nerves are very complex, so a large amount of computing neural network algorithm needed. Neural network has been tepid in the past, because the computational neural network computer hardware is insufficient to support. Now the development of Big Data technologies, so that the neural network ushered in the spring. Such as face recognition, license plate recognition technology in the field of traffic
technique is the application of neural networks.
Deep learning , neural networks belonging to a development branch, referring to the many layers of the neural network can be simply understood as the more advanced neural network. The neural network compared to mathematics, similar deep learning higher mathematics . Driverless car is a typical application of the depth of learning.
AI , acronym AI, is humanlike intelligence, thinking. Artificial intelligence is more suitable understood as an industry, refers to produce more intelligent software and hardware. Artificial intelligence is implemented in machine learning, artificial intelligence technology to talk about it, in fact, is the application of machine learning algorithms. A variety of smart home, intelligent robots are artificial intelligence direction of the industry.
To sum up the various algorithms, artificial intelligence is an industry, mainly by means of achieving artificial intelligence machine learning. In machine learning algorithm, the depth of learning is a very high degree of intelligence algorithms. Now the development of cloud computing and big data technology, so that neural networks and deep learning is applied in practice.
The era of big data, data is the most valuable asset of the company, but not the vast amounts of data is valuable, how to dig out useful data becomes a commercial value, you need a machine learning algorithm. Big data and machine learning is bound to subvert the traditional industry the way they operate, will drive the development of the company's business. At present, more and more machine learning / data mining / electrical business, search, finance, games, health care and other deep learning algorithm is applied
analysis in the field of mining, on the recommendation.
