1. Smola, A.J.: An introduction to machine learning basics and probability theory, statistical machine learning program. ACT 0200, Australia, Canberra (2007)
2. Osisanwo, F.Y., Akinsola, J.E.T., Awodele, O., Hinmikaiye, J.O., Olakanmi, O., Akinjobi, J.: Supervised machine learning algorithms: classification and comparison. Int. J. Comput. Trends Technol. 48(3), 128–138 (2017)
3. Dangeti, P.: Statistics for Machine Learning, Techniques for Exploring Supervised, Unsupervised, and Reinforcement Learning Models with Python and R. Packt Publishing Ltd., Birmingham (2017)
4. Malmström, M.: 5G positioning using machine learning. Master of Science thesis in Applied Mathematics. Department of Electrical Engineering, Linköping University (2018)
5. Zhang, X., Wang, Y., Shi, W.: CAMP: performance comparison of machine learning packages on the edges. In: Computer Science HotEdge (2018)