1) What is a machine learning algorithm doing when it’s training a model? Creating an efficient key-value database to retrieve values from the dataset when necessary. Adjusting the dataset until the dataset matches the algorithm’s expectations Adjusting model parameters in an attempt to optimize some objective function (ex: minimize loss). It is calculating random values until it decides it wants to stop. 2) Which of the following is an important reason to refactor your code? Makes a more complex structure, but stronger Changes external functionality Improves internal structure 3) Which of the following is a true statement about modules used in your code? Never use more than 5 modules in your code; it will be too difficult to read. Creating more modules doesn't necessarily result in more effective modularization. Adding more than three modules per function will cause it to fail. It is impossible to over-engineer abstraction in code. Stops you from making additional mistakes in the future