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Dr. Rizz Predicting the workload behavior sets the expectations for execution time and cost [1]. In particular, this enables more reliable guarantees towards service level agreements (SLA) prior to any workload execution [2]. Knowing the workload behavior a priori is also very useful for many administrative tasks such as capacity planning, admission ... read more

Why do we compare machine learning algorithm with human-level performance? There are two reasons for that: 1) machine learning algorithms have become much more efficient due availability of data and computational power, 2) machine learning workflows have led to machine learning algorithms which are competitive with human-level performance. In most machine learning ... read more

Dr. Rizz In my PhD, I propose a novel framework for resource provisioning in a public cloud environment. The high-level architecture of the provisioning framework is shown in Fig 1. The framework employs a search algorithm to explore the search space. Given a set of workloads and an objective, a search ... read more

In modern big era, machine learning strategy plays significant role in ultimate fate of a machine learning project. Let's say we have trained a classifier with 90% accuracy on test examples. But that accuracy is not be good enough for the application. To improve classifier’s accuracy, we can try a ra... read more

Dr. Rizz I have been thinking about writing up a simplest possible data science example that people can play with, and it gives a taste of predicting something useful. In today’s hot real estate market, I choose the example of freely and openly available Boston Housing dataset available at UC... read more