Van Breedlove's Blog

  Yellowstone to Yukon Conservation Initiative Since the beginning of The United States, approximately 600 out of 6000 species in North America have gone extinct . Animal populations have declined by almost 70% worldwide. If that kind of decline occurred for the human race, 5,670,000,000 people would be wiped off the face of the earth.  There is still hope. I am here to talk about how the Yellowstone to Yukon Conservation Initiative could save the world.  This project aims to connect many of the existing wildlife preserves and national parks into one huge preserve that could save so many animals. The preserve, called Y2Y for short, would spread from the Yukon area in northern Canada to the Yellowstone National Park in the northern United States.  Here’s the science: The larger an animal is, the more land it needs to survive, and the animals in North America are some of the largest in the world. Bears, moose, caribou, mountain lions, and bison all reside in the Y2...

  Today my class had a guest speaker named Dr. Shuman. She came to speak to us about AI and coding.  https://www.salesforce.com/eu/blog/deep-learning-ai-powered-automation/ In her presentation, Dr. Shuman began by asking us what the difference between learning and memorization was. The consensus was that memorizing was only for the specific things that you memorized, while learning can be applied to new things that you have never seen before.  These definitions mark the branch of machine learning from other kinds of coding. Machine learning aims to exceed the normal memorization that coding uses and create true learning. In addition to all of the applications to coding, I learned that the distinction between learning and memorization can be applied to my schooling as well.  Cramming information the night before a test does not guarantee that I know it! Dr. Schuman's own research related specifically to self driving cars. She had built an automated car (a model which ...

 

 Chat Bot A chat bot is a sequence of choices that a user can make that leads to a certain outcome set up by the maker of the chat bot. A user makes a decision, and this leads to another choice, or simply a response. Chat bots are useful for customer service since they can reduce the human contact needed to help a consumer.  When coding a chatbot from scratch, a creator needs to act courteous, just like if they were a person. I began my chat bot by asking for the user's name, then I provided a series of questions that the user could ask and answers that the chat bot would provide. In the actual code, these came in the form of if statements.  If it was any other question, the chat bot would say: " I don't have a real answer, but I'm learning! " The user could leave at any time by saying bye.  This is a segment of the code for my chat bot: def chatbot():     print("Hello! I am a chatbot. What's your name?")     name = input()     print(f"N...