Feature Stores constitute one of the principal frameworks in data injestion, pipeline creation, training, deploying and serving ML models in offline and online predictive systems.
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Archive for sharmi.chatterjee
Fatal heart, brain monitoring is important for the mother and the baby as it helps to understand the baby’s growth.Lets understand how we discover anomalies from cyclic patterns
Motivation A time-series represents the sequence of a variable recorded with time over regular intervals of time. There are various applications of time series like Stock Market Prediction (with daily and hourly data), Annual Sales/Revenue, Seasonal Temperatures changes, monthly Cloud Infrastructure cost and second level prediction of Python has 2 libraries StatsModels and Pyramid that helps to build forecasting models and predict values at a future time. As both these libraries provide forecasts for similar […]
Motivation IoT has become a massive body of work in recent years. The growing trend of Internet of Things in last few years is evident from the graph below. IoT spans multiple domains and diverse industries. Thousands of new jobs have been created thanks to the advanced in IoT technology. The interpretability of IoT data creates a path for: Defining ML models Increasing the accuracy of predicting events Raising alarms, among other things My aim […]
Optimistic Machine Learning-privacy satisfying accurate models Motivation Machine learning models have been known to leak information about the individual data records on which they were trained. One of the mechanisms include : membership inference attack: Where a data record and black-box access to a model is used to determine if the record was in the model’s training dataset. Membership inference against a target model uses adversarial machine learning to train custom interface models to recognise […]
