Day 10: Dr. Schuman- Machine Learning
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I learned about different features of machine learning; for example, its use of pattern recognition. For example, an AI can recognize a pig based on a few key features- ears, hooves, color, snout, but can easily incorrectly recognize different objects or animals that have those features. A lot of animals and objects come in diverse forms and there are other animals or objects that can mimic them or happen to have a similar appearance. As a result, AI relies on more data and input to train it to recognize things correctly. Credit: purepng.com Credit:techupdatesdaily.com My most important takeaway from Dr. Schumann's lecture was the human-AI collaboration due to humans' role in machine learning. AI relies on humans to set the criteria for identification in order to successfully carry out its task. This takes from multiple different fields including data science and analysis and computer science. I definitely learned how machine learning is so complex that...