A company producing consumable goods wants to identify groups of people with similar tastes for the purpose of targeting different products for each group. You have to choose and apply an appropriate ML type for this problem.
Which ONE of the following options represents the BEST possible solution for this above- mentioned task?
SELECT ONE OPTION
Correct Answer:C
✑ A. Regression
✑ B. Association
✑ C. Clustering
✑ D. Classification
Therefore, the correct answer is C because clustering is the most suitable method for grouping people with similar tastes for targeted product marketing.
Which ONE of the following describes a situation of back-to-back testing the LEAST? SELECT ONE OPTION
Correct Answer:C
Back-to-back testing is a method where the same set of tests are run on multiple implementations of the system to compare their outputs. This type of testing is typically used to ensure consistency and correctness by comparing the outputs of different implementations under identical conditions. Let's analyze the options given:
✑ A. Comparison of the results of a current neural network model ML model
implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.
✑ B. Comparison of the results of a home-grown neural network model ML model
with results in a neural network model implemented in a standard implementation (for example Pytorch) for the same data.
✑ C. Comparison of the results of a neural network ML model with a current decision
tree ML model for the same data.
✑ D. Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.
Based on this analysis, option C is the one that describes a situation of back-to-back testing the least because it compares two fundamentally different models, which is not the intent of back-to-back testing.