Tools to crack your data science Interviews
Algorithms and data structures are used in various instances while building efficient Machine Learning models. In this video, we explore the “Divide and Conquer” technique and look at two examples where it is used in the context of Machine Learning. The first example is that of the “K-Nearest Neighbours” with a Kd-Tree to make searching…
The video covers examples of where various data structures are used in an ML context to highlight the importance of understanding algorithms and data structures in a data science role.
Recommender systems often suffer from exposure bias, where we have customer feedback from only those items we actually recommend to the customers. Since only the shown items can collect positive feedback, we end up showing the same items again and again to the customers. This phenomemon is often called bias-amplification or a feedback loop. This…
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Randomized Grid Search is a variation of Grid Search that samples each parameter from a distribution. Conventional grid search evaluates the model at fixed combinations of parameter values and could be very inefficient as the complexity grows exponentially with the number of parameters. Randomized Grid search is a more efficient and an effective alternative.