Hints for Further Readings on AI

This chapter has covered some of the most widely used data analysis methods applicable in sensor data analysis, which might be typical for IoT systems. However, it is only the surface of the exciting world of data analytics and AI. The authors suggest the following online resources besides the well-known online learning platforms to dive into this world.

• SciKit learn library for general data analysis and fundamental AI algorithms SciKit learn: a very useful Python library with complemented detailed documentation and example code snippets;
• Time series library TSlearn TSlearn: provides very insightful comments and documentation on different algorithms and approaches widely used in time series analysis;
• Pytorch Pytorch and Keras Keras: community pages for those who seek deep learning resources and more complex models in comparison to those that was covered in this chapter;
• Scipy Scipy: a very rich library for statistical models in Python.

• Orange Orange: visual programming tool for data analysis and visualisation;
• Weka Weka: a ready to use data analysis and visualisation tool;