Voting Based Extreme Learning Machine

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Deep learning / machine learning application: Machine learning is a technique of computer algorithm that operates based on learning on existing data. Deep learning is a subset of machine learning that focuses on deep neural networks. The following companies use deep learning / machine learning techniques for their products in a specific way or use case. Computer vision / image recognition: Computer vision is a method of processing and analyzing images to understand and generate information. Image recognition is the process of scanning an image to identify an object or face. The following companies build computer vision / image recognition technology or use it as the core product of products.

Rule-based machine learning is a generic term for any machine learning method used to identify, learn or develop "rules" that preserve, manipulate, or apply knowledge. A clear feature of the rule-based machine learning algorithm is the identification and use of a set of relational rules collectively representing knowledge captured by the system. This contrasts with other machine learning algorithms that normally identify a single model that can be universally applied to every instance for prediction. Rule-based machine learning methods include learning classification systems, related rule learning, and artificial immune systems.

The essence of artificial intelligence is learning. Just like learning how to recognize patterns and planning humans, you can train machines as well to perform such tasks based on powerful machine learning algorithms. Machine learning (ML) describes automatic learning of implicit attributes or underlying data rules. Since most AI systems are currently based on ML, these two terms are often used interchangeably. The main advantage of AI to human intelligence is its high scalability, significant cost reduction, its consistency, reduced error, and its improved nature which is continually being enhanced.