Introduction to AI Technique and Analysis of Time Series Data Using Facebook Prophet Model
S. Sivaramakrishnan, C R Rathish, S. Premalatha, C Niranjana
- 发表年份
- 2023
- 引用次数
- 10
摘要
Artificial Intelligence (AI) builds machines to work as human beings by communicating the intelligence to the machines. AI highlights the creation of intelligent machines that accept the desired input data, work on it, operate, and respond like human beings. It is also used for making decisions by reading the real-time data, recognizing the given scenario, and finally responding to the structured set of data fed to interpret the conclusion. To build intelligent machines it is vital to understand the function of the human brain. The machines can only act, operate and react according to the information available about the scenario under which it works. Thus the AI must contain sufficient information which is a tedious task. Hence, to make a machine into a computer-controlled robot or designing software that performs and responds exactly the way a human being does, began the development of AI. The set of inputs will have many classifications and hence requires supervision that is mathematically analyzed by Machine Learning technology. This technology has higher challenges where the information required for the intelligent system will be of higher volume and each time the information must be updated. The set of software programs has no proper guidelines which makes it inefficient in some cases. These challenges can be controlled by some techniques that rectify the error, alter the data depending on scenarios and boost the speed of execution by optimizing the efficiency. Some frameworks come up with the implementation of various intelligent systems. Feature extraction framework identifies a minimal set of informative attributes from the provided dataset assuring zero correlation. A deep learning framework drastically reduces the learning time of models with the usage of parallel-computing GPUs. A Neural Network framework consists of interconnections where each node calculates the weighted sum of values passed on to its input and after a series of epochs the other network parameters merge to optimal values ending up with the appropriate model. AI plays a major role in many sectors. With the enhancement, it improves the quality of our lives or it may show the negative effects of it.
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