Andre's blog

 

 Today in class we made chatbots using Chatfuel and Facebook. A chatbot is a program that is designed to communicate with people in place of a real person. They can be used by companies, websites, or etc. to communicate with customers and answer their questions.  Python Chatbot: The code we were given was pre-made. We were able to use this code to get a very basic chatbot. After this we got to edit the code to make the chatbot able to answer more questions. I added on simple questions like "How old are you", "What is the best color", and a couple other basic questions. I understand a bit better now why people would use machine learning for a chatbot as filling in manually every question and answer takes a long time.  Chatfuel/Facebook Chatbot:  My chatbot was inspired by my father. He is always asking my sister and I for good anime to watch so I decided to make a chatbot that gives anime suggestions. The suggestions are based a little bit on my personal choices, but

 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

 In today's class we went on a field trip to Ijam's nature center. The goal was to observe nature in different perspectives.   We completed a packet to reflect on the different methods. You can see my responses below:                                                                                                      These are images from Ijam's and the animals I observed:  

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 lower clas

 Today in Stem in Society we discussed CAFO's and whether or not the US should rely on them. My group was assigned the NO group and below was our discussion. What Is a CAFO? The Costs of Industrial Farming - Seven Sons Farms What our group discussed: My group read through the articles we were given and came up with the following reasons not to use CAFO's: CAFO's are defined by whether they are a major pollutant Many CAFO's cause major water pollution with all the waste that is created. We discovered that CAFO's targeted minority communities Lower income communities as well as communities of color were the most targeted Health problems caused by the pollution were most notable in these communities that live close to CAFO's Red meat is known to increase mortality rates and cause health problems Even with this knowledge the amount of meat consumption has doubled CAFO's in the red meat industry will only fuel the people to eat more red meat causing more healt