The promise of Big Data is in analytics and how companies can derive business intelligence to help them make data-driven decisions. A data-driven culture in organizations...
In order to prevent my programs from freezing up while running long calculations, I generally run the calculations on separate threads. In Java, this process can be acc...
Fintech industries have been catching up quite well in blending advance analytics with RPA (Robotic Process Automation) implementation in its business process in the j...
An exploratory study must always be designed and executed in order to answer a number of a-priory questions. Our experience in dozens of scientific projects has allowed ...
Many social media, like Twitter, Facebook and etc, are evolving to become a source of information for people to scrape varied kinds of data, since microblogs on ...
Dynamical ML is machine learning that can adapt to variations over time; it requires “real-time recursive” learning algorithms and time-varying data models such as th...
Many organizations today have realized that digital transformation is essential to their success. But many of them forget that focus of a digital transformation is not di...
Contributed by Lei Zhang. Recently one phone game spread through the whole world, and cause a lot of interesting topic about the technique behind the game. One of the...
Binary classification is one of the most frequent studies in applied machine learning problems in various domains, from medicine to biology to meteorology to malware anal...
Poisson Image Editing The goal of Poisson image editing is to perform seamless blending of an object or a texturefrom a source image (captured by a mask image) ...