دانلود کتاب روش های محاسباتی برای تجزیه و تحلیل داده ها

The advent of computerization has improved our capabilities in terms of generating and collecting data from myriad of sources to a large extent. A huge amount of data has inundated nearly in all walks of lives. Such growth in data has led to an immediate need for the development of new tools, which can be of help to us in an intelligent manner. In the light of all these developments, this book dwells on neural learning methods and it aims at shedding light on those applications where sample data are available but algorithms for analysis are missing. Successful applications of artificial intelligence have already been extensively introduced into our lives. There already exist some commercial software developed for the recognition of handwriting and speech. In business life, retailer companies can examine the past data and use such data for the enhancement of their customer relationship management. Financial institutions, on the other hand, are able to conduct risk analyses for loans from what they have learned from their customers’ past behavior. In particular, data are increasing every day and we can convert such data into knowledge only after examining them through a computer. In this book, we will discuss some of the methods related to mathematics, statistics, engineering, medical applications, economics as well as finance. Our aim is to come up with a common ground and interdisciplinary approach for both the problems and suggest solutions in an integrative way. In addition, we provide simple and to-the-point explanations so that it will be possible for our readers to make conversions from mathematical operations into programme dimension. The applications in the book cover three different datasets relating to the algorithms in each section. We, as the authors, have thoroughly enjoyed writing this book, and we hope you will also enjoy to the same extent and find it beneficial for your studies as well as in various applications.