Avoid Using a Poor Quality Setup

Choosing a poor quality setup will only make you look bad during your interview. To explain our key points: Built-in features are never the best…

False Positive More Important

Question: Can you cite an example of when a false positive is more important than a false negative? Example “A false positive is never a…

Unsupervised Learning

Question: What is unsupervised learning? Example “Unsupervised machine learning involves algorithms that are not pre-labeled, like when you need to look at raw data and…

Supervised Learning

Question: What is supervised learning? Example “Supervised machine learning involves algorithms in which the data is pre-labeled for the computer, such as showing a picture…

Machine Learning

Question: What is machine learning? It’s a broadly used term, so think of good examples from your industry. This includes prediction and analysis. Example: Machine…

Cross-Validation

Question: What is Cross Validation? Example ” I use cross-validation to evaluate if my model will generalize to other data sets. This is done during the…

Validation Set vs Test Set

Question: Can you explain the difference between a validation set and a test set? Example “A validation set is a part of the training set…

False Negative More Important

Question: Can you cite an example of when a false negative is more important than a false positive? Example “Let’s say you’re working in cyber…

False Errors Equally Important

Question: Can you cite an example where false negatives and false positives are equally important? Example “This happens in many cases– if you’re ever handling…

Logistic Regression

Question: What is logistic regression? Example ” Logistic regression is regression with a binary outcome. For example, a project I was working on required predicting the…