Machine learning with time-series
In this section, I'll give an introduction to applications and the main categories of machine learning with time-series.
Machine learning approaches for time-series are crucial in domains such as economics, medicine, meteorology, demography, and many others. Time-Series datasets are ubiquitous and occur in domains as diverse as healthcare, economics, social sciences, Internet-of-Things applications, operations management, digital marketing, cloud infrastructure, the simulation of robotic systems, and others. These datasets are of immense practical importance, as they can be leveraged to forecast and predict the detection of anomalies more effectively, thereby supporting decision making.
The technical applications within machine learning for time-series abound in techniques. A few applications are as follows:
- Curve fitting
- Regression
- Classification
- Forecasting
- Segmentation/clustering
- Anomaly detection...
