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June 18: Machine Learning

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Machine Learning Talk Today in STEM Skill we had a guest speaker named Dr. Schuman. She talked to us about Machine Learning. First, she explained the difference between learning and memorizing. When training an AI, it is important that the machine is learning and not just memorizing the training set. You train an AI by giving it training data and letting it check itself. Machine Learning is used everywhere from Google's search engine to self-driving cars. Then, she told us about k nearest neighbors and how AI can recognize objects. She used the example of apples and oranges and graphed known values for each. Then one must determine  if k of the nearest neighbors are mostly apple oranges. She also told us about Neural Networks and how neurons communicate with synapses. A Chatbot as complex as ChatGPT has trillions of synapses.      The most interesting thing I learned is how Neural Networks and Machine Learning models are models to imitate our brains. It has neurons a...
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June 24: Chatbot

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 Chatbots   Today in STEM Skill we made our own chatbot. A chatbot is a program that can help automate customer service questions. Although it cannot completely replace humans, it does make customer service jobs much more efficient. One person can manage many different customer calls at the same time. Unless it is a difficult issue to solve.      First, we copied code for a basic Python chatbot. I made the bot recommend an instrument based on the user's favorite genre of music. The code was surprisingly simple. It used loops, if else, and else statements. Here's a picture of my final code:  Then I used Chatfuel to make an interactive Facebook page to tell you what woodwind you should play. It worked like a flow chart and was very intuitive. First, I asked what octave the user wanted to play in and filtered it down to one instrument from there. Here's a picture of my flow chart: Flow is filtering down user inputs to get to one solid answer. It is like a flow...
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