The phenomenal growth of cloud-based offerings such as Platform as a service (PaaS), Infrastructure as a service (IaaS) and Software as a service (SaaS) has resulted into bigger competition in the market, with the new addition being Machine Learning as a Service (MLaaS).
Machine Learning has emerged as one of the fastest evolving technologies today. One of the most critical factors for Machine Learning implementation is to have huge sets of data and to have machine learning (ML) experts or Data scientists who can identify a pattern in data, hiring whom can be difficult and expensive.
Moreover, selecting a machine-learning algorithm is a process of trial and error. It is also a trade-off between specific characteristics of the algorithms, such as speed of training, memory usage, predictive accuracy on new data etc. MLaaS is the answer to both these issues.
Cloud can be an ideal platform for machine learning due to storage of huge data, high computational performance, and low deploying cost. In case of MLaaS, the provider handles the actual computations in their own data centers, with customers not having to install their own softwares or run their own servers. ..Read More..