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Artificial Intelligence (Examples (Robots, Siri, Cars, Voice to Text, Cell…

- - - - robotics
        
        Using information from the computer vision to interact with the environment
      - Computer Vision
        
        Computer using its vision, to understand the environment
      - _
        
        Supervised learning
        
        "Trained" or "teach" the machine with data.
        
        Gives the machine "answer," like letting the machine to "memorize"
        
        Unsupervised learning
        
        Want the machine to figure out the patterns
        
        Don't give the "answer," let the machine to come up the predict
        
        Reinforcement learning
        
        Reinforcement learning
        
        Give the machine a goal and let the machine to achieve the goal
    - - pattern recognition
        
        recognition of a pattern in data.
      - deep learning: data-based
        
        RNN
        
        to remember a limited past
        
        CNN
        
        computer vision
        
        object recognition
        
        accomplished through AI to get computer vision
        
        recognize objects in a scene
        
        used to recognize objects in a scene
        
        Scan images from left to right, top to bottom.
      - statistical learning
        
        natural language processes
        
        speech recognition
        
        Statistically based (data based)
- - - - Programs analyze thousands and thousands of examples to build an algorithm. Over time the program actually gets smarter
      - Some program also mimic the human brain is structured
      - AI is a broad area of computer science that makes machines seems like they have human intelligence.
      - AI learns to exhibit signs of human it can also learn to improve themselves
      - AI will be less artificial but more intelligent
      - The AI creator only programmed to give you the answer from a specific data