… service that provides a model authoring environment where data scientists can create machine
learning … learned that could prove useful for other providers of machine learning services. …

… Within artificial intelligence (AI), machine learning has … The effect of machine learning has
also been felt broadly … -intensive issues, such as consumer services, the diagnosis of faults in …

… Open Street Maps into the machine learning process. In both examples, we highlight how
model structure and uncertainty computed in the machine learning process supplement and …

… for machine learning, providing a scalable, flexible, and non-blocking platform as a service
based on the service … and execution of machine learning models. By taking advantage from …

… the application of machine learning methods to … machine learning to predict a particular
outcome. We include steps for data preparation, estimator family selection, parameter learning, …

… built machine learning services on their cloud platforms. There are two types of cloud services.
… The second type of service overcomes this issue by providing the training service, where …

Recently, we have been witnessing huge advancements in the scale of data we routinely
generate and collect in pretty much everything we do, as well as our ability to exploit modern …

… can be aggregated and reasoned about, profiling through machine learning plays a crucial
part in the provision of personalized services. There are three methods in machine learning …

… In addition, this architecture provides a hybrid machine learning model for predicting CKD
as an example towards improving the healthcare services. The proposed VMs optimization …

… classification machine learning model to associate a help desk ticket with its correct service
… stemming, feature vectorization, and machine learning algorithm tuning. Nevertheless, the …