Secondly, big data, the concept is even bigger, it is not just a technology so simple, he is a set of data use direction, a large number of multi-dimensional data processing technology, cloud storage, cloud computing, and other advanced technology of a comprehensive discipline. To be more specific, this is the actual life of all kinds of large quantities of multi-dimensional data processing, and produce greater value of the applied disciplines, and the life of the production of closely related to the practical technology.
Third, data mining, as the name suggests, from the data we want to mine information to help us improve productivity, all technology is to improve production or promote other technological innovation based. Data mining is a discipline that emerged in the United States in the 1980s, and machine learning compared to his more data-oriented, will be combined with the knowledge of statistics, involving correlation, classification, clustering and other core technologies.
Fourth, embedded, my understanding is relatively shallow, you roughly reference, said the wrong please understand: the definition of embedded systems: "used to control, monitor, or assist in the operation of machines and equipment devices". Defined from the application object, the embedded system is a combination of software and hardware, can also cover mechanical and other ancillary devices. Domestic generally accepted definition of embedded systems: application-centered, computer technology-based, hardware and software can be tailored to adapt to the application of the system on the function, reliability, cost, volume, power consumption and other stringent requirements of the special computer system.
Finally back to your core, and what is the relationship between the robot, first of all, machine learning is a comprehensive discipline, he designed the robot's behavioral decision-making choices, this part and data mining has a compatible part. Secondly, big data has also said earlier, is a very broad concept, his application in the robot is certainly the design of the robot's information storage, cloud computing related areas. And embedded, this and robotics relevance is relatively large, through the embedded system, can improve the robot's maneuverability performance.
Last but not least, the robotics industry is the future market space is very huge industry, students refueling, the future is boundless.