How to solve this problem as Machine Learning? I have a time series data. I have to identify the point in red. I know how to solve this using statistics. But if I had to use Machine Learning to detect these points how can I solve this.



How can I modify this data in order to feed it to machine learning model. Data is just one column readings as show in plot. Any idea?
Generally, You can use anomaly detection to detect a sudden change in Timeseries data. SOM is useful for detect it. Its like you want to capture an anomly in continuous distribution of data.