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June 18: Guest Speaker

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 In today's class we had a guest speaker. The guest speaker was Dr. Schuman. She discussed machine learning and talked about some of her projects at UT.  Machine Learning: What Is Machine Learning? - TechUpdatesDaily Summary: Dr. Schuman discussed many things in her presentation. One of the main things was how a machine learns. She discussed different methods of this learning. The one that stuck with me the most was the K- nearest neighbor method. In simple terms the method uses whatever "neighbor" is nearest to the point you selected and used that to assume what the object should be. The machine declares the object whatever neighbor is most prominent near it. The number of "neighbors" used to determine the new object can be changed depending on how accurate things are spaced or in general need to be. People typically use odd number for K-nearest neighbor to avoid ties. Besides the machine learning, she also showed us one of her projects at UT. It was a small ca...
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Visualization and AI Overview.

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Today's blog will be about two different things. First Is about data visualization and the second is about AI which we used to guess who would survive on the titanic.  Data visualization: I was not able to get excel to work on my computer, so I moved on to the python visualizations. I started with the plant visualizations. The first thing I figured out on it was how to move the planets and change the color. Later on, I learned how to change the shape of the planets and move the names around.  I learned from this how you can manipulate shapes and colors to portray what you want to more clearly. Color and Shape are just two of the ways to do data visualization.  Now let's take a look at AI: AI, also known as Artificial intelligence, is a program that learns from the data it is given to do a certain task. In class we discussed who would survive in the titanic. My group determined our answers from what class the people were and their age.  We assumed that people who were...
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