Artificial Intelligence Techniques

Artificial Intelligence (AI) techniques refer to the methods and algorithms used to create intelligent machines that can perform tasks that typically require human-like intelligence, such as visual perception, speech recognition, decision-making, and language translation. These techniques include machine learning, natural language processing, computer vision, robotics, and expert systems. Machine learning involves training algorithms to learn patterns in data and make predictions or decisions based on that learning. Natural language processing involves teaching machines to understand and generate human language. Computer vision involves enabling machines to interpret and understand visual information from the world around them. Robotics involves designing and programming machines to perform tasks in the physical world. Expert systems involve creating computer programs that can make decisions and solve problems based on a set of rules and knowledge. AI techniques are used in a wide range of applications, including self-driving cars, virtual assistants, fraud detection, and medical diagnosis.
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  • Union: In data science, union refers to the process of combining two or more datasets into a single dataset. This is typically done when the datasets have the same structure and can be concatenated vertically. The resulting dataset will have all t ... Read More >>
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