Interview Questions

Dessalew A. - "Strength: simplicity + interpretability Weakness: rigidity (can’t model complexity well)"See full answer

Lucas G. - "To speed up A/B tests results with limited sample sizes, we can apply advanced techniques like CUPED to reduce variance for faster statistical significance, interleaving to gather more comparative data per user (e.g., ranking), MAB to dynamically allocate traffic to winning variations for quicker optimization (e.g., campaigns), and Bayesian A/B testing which offers probabilistic conclusions that can be reached earlier. Each method, when appropriately applied, allows you to gain m"See full answer

Lucas G. - "Because testing many engagement metrics at once increases the risk of finding effects that aren't real (the 'multiple comparisons problem'), you must adjust your criteria for statistical significance. For social media data, the Benjamini-Hochberg procedure is often a practical choice as it controls the rate of false discoveries (FDR) while still allowing you to detect genuine changes; however, the ideal adjustment method will vary depending on your specific number of metrics (e.g., use Bonferron"See full answer

Vips M. - "No discussion around better initialization of weights like Xavier etc.?"See full answer

Abinash S. - "I checked the unittest is giving a False assertion as you can see in the colab notebook below. F FAIL: testsimple (main_.Conv2dTest) Traceback (most recent call last): File "", line 19, in test_simple self.assertTrue(torch.equal(output, torch.tensor([[[[ 5., 1.], [ -2., -10.]]]]))) AssertionError: False is not true"See full answer

Lakshay T. - "I would first start by telling what Google maps do: Finding direction from A to B Few users also use it for safety purpose while in Cab Businesses use it for listing themselves and also consume APIs When we open Google Maps: We see the focus is primarily on maps, giving few suggestions on top if user wants to caetgorize thier search such as pretol pump etc User can add reviews in contribute section User can review at the feed/suggestions Since primary usage is navigation, I will"See full answer

Connor W. - "This video is a duplicate of the other video in this lesson, "Design A/B test for New Campaign""See full answer

Saurabh K. - "Ask a follow up question : What is the primary goal of expanding into a new vertical ? Food vertical company may want to expand to a new vertical (say Grocery) for the following reasons : Attract new customers interested in grocery delivery instead of food delivery Increase usage/order frequency from existing customers Increase revenue and LTV of existing as well as potentially new customers Benefit from synergies between existing delivery engine by improving utilization of their network"See full answer

Yenenash W. - " A higher confidence level leads to a wider interval because we are more certain that the parameter of interest lies within that range. Conversely, a lower confidence level results in a narrower interval, but it also means we are less confident that the interval contains the parameter of interest.""See full answer