What's the difference between Type I and Type II error?
Type I error is a false positive, while Type II error is a false negative. Briefly stated, Type I error means claiming something has happened when it hasn't, while Type II error means that you claim nothing is happening when in fact something is.
A clever way to think about this is to think of Type I error as telling a man he is pregnant, while Type II error means you tell a pregnant woman she isn't carrying a baby.
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Data Science
- What features would you use to predict the Uber ETA for ride requests?
- How would you evaluate the predictions of an Uber ETA model?
- Describe how you would build a model to predict Uber ETAs after a rider requests a ride.
- Suppose you're working as a data scientist at Facebook. How would you measure the success of private stories on Instagram, where only certain chosen friends can see the story?
- Precision vs Accuracy Vs Recall?
- Error vs variance vs bias?
- False negatives vs false positives? When is either one worse than the other?
- Describe your data science process start to finish?
- Data science vs machine learning vs AI?
- How would you find correlation between a categorical variable and a continuous variable?
- How do you treat null/missing values? Name 3 methodologies.
- How can outlier values be treated?
- What is data normalization? Name 2 normalization methodologies.
- What is the role/importance of data cleaning?
- What are success metrics vs tracking metrics?
- What kind of metric would you make to measure success of a program (marketing) and how do you define them?
- Let's say an app was getting a redesign. How do you know if the redesign was successful?
- We noticed a steep decline in users in a certain area of the world, how would you address/asses?
- What are the two methods used for the calibration in Supervised Learning?
- Which method is frequently used to prevent overfitting?
- What is the difference between heuristic for rule learning and heuristics for decision trees?
- What is Perceptron in Machine Learning?
- Explain the two components of Bayesian logic program?
- What are Bayesian Networks (BN) ?
- Why instance based learning algorithm sometimes referred as Lazy learning algorithm?