The technical ability of data mining and search algorithms to classify and correlate knowledge bases and information bases in data factories Tunisia Phone Number List is also a major pain point for online education companies. The data is stored on the hard disk. If the machine wants to find a certain data, it must access the past one by one. The machine has no concept of classification. If the machine needs to understand the user's language, this kind Tunisia Phone Number List of search technology still requires the cooperation of the machine's brain. The definition of each word should be a library, and each word in this library constitutes its own library. Relying on the search algorithm is to establish management for them in such a data ocean, and then go to the index.
The data factory is equivalent to the memory association process in the human brain: the process of establishing a dynamic association Tunisia Phone Number List between a word and other words or a scene at the same time. This is also an important threshold for education companies to enter the AI+ field. Powerless - the intelligent algorithms that students rely on for emotion recognition are far from intelligent enough Algorithms are responsible for taking in information about a specific domain (such as all the English words a student knows) and making Tunisia Phone Number List useful predictions (the person's English proficiency) by weighing the input. By realizing "the ability of the computer to learn by itself", the task of optimization can be handed over to the algorithm. Such as weighing.
The accuracy of prediction depends on Tunisia Phone Number List the number of valid data samples mentioned above on the one hand, and on the algorithm structure on the other hand. For example, individual education companies use artificial intelligence deep learning algorithms for emotion recognition, and use face recognition technology to effectively monitor students' acceptance, preferences, concentration, happiness, etc., and use big Tunisia Phone Number List data to trace students' learning process throughout the process. The problems and preferences in learning can be strengthened and supplemented in a targeted manner, so as to make the learning effect more efficient. Emotion recognition technology can be said to be the highest level of artificial intelligence development. No matter what algorithm is used.