Rohan's Bytes

ML Interview Q Series: Powering TikTok's 'For You': Deep Learning for Candidate Generation and Ranking.

ML Interview Q Series: Likelihood Ratio Test for Comparing Exponential Rate Parameters in Lifetime Data

ML Interview Q Series: Linear Regression: Equivalence of Maximum Likelihood and Minimum Squared Residuals with Gaussian Errors.

ML Interview Q Series: Bayesian Updating Predicts Show Hit Probability Using Rater Feedback

ML Interview Q Series: Uncorrelated X+Y and X−Y: Understanding the Equal Variance Requirement.

ML Interview Q Series: Estimating Uniform Distribution Bounds (a, b) using Maximum Likelihood Estimation.

ML Interview Q Series: Modeling Server Wait Times Using a Mixture of Exponential Distributions

ML Interview Q Series: Maximum Likelihood Estimation for Exponential Rate λ in Lifetime Modeling

ML Interview Q Series: Evaluating Driver App UI Impact on Ride Volume via A/B Testing

ML Interview Q Series: Bayesian Assessment of Content Rater Diligence Using Labeling Data

ML Interview Q Series: Detecting Unfair Coin Bias: Sample Size Calculation via Hypothesis Testing

ML Interview Q Series: Real-Time A/B Testing for Streaming: Metrics, Data Pipelines & Evaluation Strategies