We do pre-screening on the data to remove fraud threats -- so how do we find a data sample that we can use to determine a real representation of fraud events.
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private static Map<String, Integer> namesToNumPurchases = new HashMap<String, Integer>() {{ put("Chris", 10); put("Bob", 5); put("David", 5); put("Sue", 12); put("Jim", 3); }}; /* Required output: 3: Jim 5: Bob, David 10: Chris 12: Sue */
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Alice ha 9 monete, Bob ha 8 monete. Quale è la probabilità che Alice ottenga più teste di Bob?
How to measure distance between data point?
Let's say you finished developing a machine learning model and you are getting 95% accuracy. Should you be happy?
From the csv files, how is "A" improved over "B"? Do you have any other findings?
Can you explain what regularization is. What's the difference between L1/L2 regularization
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