Production Testing methods for Machine Learning features Batch testing: validates the model by performing testing in an environment that is different from its training environment, which is carried out on a set of samples of data to test model inference using metrics of choice, such as accuracy, RMSE, etc. Batch…

Business Statement: False negatives are five times more costly than false positives. Therefore, we should optimise for recall over precision to satisfy this when designing our model. Precision: What proportion of positive identifications was actually correct? A model that produces no false positives has a precision of 1.0. Recall: What proportion…

Machine Learning System design Basically, we need to go through following phases while designing an ML system: - Clarifying Requirements - Architecture - Data - Model - Serving Clarifying Requirements The first thing that we should clarify the requirements. …

Modeling is the process of producing a model which is a representation of the construction and working of some system of interest. …

It has been a challenge since last many years to automatically detect and correctly classify something abnormal as anomalous. And it becomes more complex when it comes to high dimensional data, because the traditional machine learning approaches fail to capture the complex structure in the imbalanced data. This is where…

In my previous article: https://ssahuupgrad-93226.medium.com/designing-a-continuous-learning-framework-d5b5ea7979cb we learnt a small use case to understand how continuous learning of an automated machine learning pipelines works. Here, we can automate the ML production pipelines to retrain the models with new data, depending on our use case: On demand: It’s the ad-hoc manual execution…

We know a lot about various Machine Learning models, how they learn and how to deploy those models. But, again the question arises, how do you ensure your predictions continue to be accurate? How do you keep your models up-to-date with new training data? If we have found a data…

Day by day, the amount of data and information on the internet is growing exponentially, new websites, new images are coming up every second. So, how an e-Commerce organisation can make best out of this huge data? Here, Web Analytics comes into play. In this blog, we are going to…

There are many debates on how to decide the best classifier. …