I am start to study machine learning applicated to remote sensing (more specifically Landsat and Sentinel 2A and 1C images) and I would like to know the main techniques used for this.
Hi, I did a comprehensive survey on Data Mining and Machine Learning in Cloud Environments. It also consists a comprehensive taxonomical descriptions of algorithms and frameworks, considering the velocity, volume and variety of data.
You can have a look if you find anything interesting there.
Article A Comprehensive Survey on Cloud Data Mining (CDM) Frameworks...