You are provided a large dataset of prior credit card transa…

You are provided a large dataset of prior credit card transactions containing the transaction amount, location, purchase time and average daily balance for the customer along with a known outcome of whether the purchase was eventually deemed as fraudulent (Yes or No).  Your company would like you to create a machine learning model that would predict the probability of an incoming transaction as potentially fraudulent. If the model shows promise, then it would be used in a real-time system and would need to make its prediction in less than 1 second of processing time. You have a choice between creating a model using k-NN or using the Decision Tree algorithm.  Answer both questions: Which algorithm do you think would make the better choice? Why do you reach this conclusion?

A 10-year-old girl presents with a 3-month history of mornin…

A 10-year-old girl presents with a 3-month history of morning stiffness lasting over an hour, swelling of the right knee and left wrist, and intermittent low-grade fevers. She also reports increased difficulty seeing the board at school. Labs show mild anemia, elevated ESR, negative RF, and positive ANA. Which next steps is most important in confirming the diagnosis and preventing complications?