This week for our first paper we'll be reading A Few Useful Things to Know about Machine Learning. This will be a useful review paper to help get everyone familiar with the field of machine learning and is full of useful vocabulary and conventional outlooks on AI as a whole.
In the fields of Data Science and Artificial Intelligence, your models and analyses will only be as good as the data behind them. Unfortunately, you will find that the majority of datasets you encounter will be filled with missing, malformed, or erroneous data. Thankfully, Python provides a number of handy libraries to help you clean and manipulate your data into a usable state. In today's lecture, we will leverage these Python libraries to turn a messy dataset into a gold mine of value!
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