Aditya KumarRanking the results of ML models with a time decay factor for large-scale Anomaly detectionIn this blog post, I will go through one of the problems I have recently faced that seems to be reoccurring in some form or another, which…Feb 27, 2023Feb 27, 2023
Aditya Kumarintech-that-worksMonitoring Machine learning models in productionAfter deploying many ML models in production, it became evident that there should be an easy and efficient way to monitor the ML models…Feb 23, 2021Feb 23, 2021
Aditya Kumarintech-that-worksWilson Lower bound Score and Bayesian Approximation for K star scale rating to Rate productsMaintaining an online community having a lot of products where user gives a rating to products based on their experience, then it is…Jan 8, 20202Jan 8, 20202
Aditya Kumarintech-that-worksMaximal Marginal Relevance to Rerank results in Unsupervised KeyPhrase ExtractionMaximal Marginal Relevance a.k.a. MMR has been introduced in this paper The Use of MMR, Diversity-Based Reranking for Reordering Documents…Oct 24, 20192Oct 24, 20192
Aditya Kumarintech-that-worksDeep Averaging network in Universal sentence encoderWord embeddings are now state of art for doing downstream NLP tasks such as text classification, sentiment analysis, sentence similarity…Aug 28, 20192Aug 28, 20192
Aditya Kumarintech-that-worksIssues to address while comparing two forecast resultsThis post describes different issues that are generally present when you are comparing two forecasts with actual results. And will tell…Feb 5, 2019Feb 5, 2019
