Post pandemic healthcare industry sees a new revolution with new tools, techniques along with metaverse , IoT devices and digital twins
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October 10, 2020
Time-Series Feature Extraction with Easy One Line of Python Code
As time -series feature extraction have played an important role in analyzing trends, predicting future events and anomalies, it becomes important for data scientists to get acquainted with different libraries. One such library is tsfeatures
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 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 […]
Feature Extraction by Distributed and Parallel means for industrial big data applications Motivation — Why Feature extraction is necessary? Feature extraction remains one of the most preliminary steps in machine learning algorithms to identify strong and weak relevant attributes. While many feature extraction algorithms are used during Feature Engineering for standard classification and regression problems, the problem turns increasing difficult for time series classification and regression problems where each label or regression target is associated […]
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