One crucial task of actuaries is to structure data so that observed events are explained by their inherent risk factors. They are proficient at generalizing important elements to obtain useful forecasts. Although this expertise is beneficial when paired with conventional statistical models, it...

The paper tries to resolve the complexity encountered in processing of Big Data through various methodology which includes Reverse Geometric Data Perturbation to estimate the spectral flow of data through new learning methods for underlying neural networks. It also has insights into the...

Cash related market want is the display of endeavoring to envision the future estimation of an affiliation stock. The beneficial want of a stock future cost could reestablish the fundamental preferred standpoint yet this information is to an incredible degree enormous in nature. So managing this...

Part I. Artificial intelligence : present and future -- 1. Human intelligence (HI) versus artificial intelligence (AI) and intelligence augmentation (IA) -- 2. Expecting the future: How AI's potential performance will shape current behavior -- Part II. The status of machine learning methods for...