The current trends in E-U-Commerce drive large business to study their clients profiles and aptitudes, to secure large sales and acceptance of offered services. Traditional questionnaires or surveys are replaced by use of Data Analytics, Machine Learning, Neural Networks and AI.
Data is information formed in special formats to be stored, modified or analyzed. However, when it becomes difficult to store these data for large size or difficult to modify because of the diversity and complexity or difficult to analyze because of the speed of production, this data is named "data mega". Massive data is one of the greatest achievements of the age in information technology, because it represents a great challenge for users, businesses and researchers, since traditional tools can not handle this type of data. In this article, we will highlight the term "mega data". We will describe the characteristics of the data given by this name. We will explain the importance and challenges faced by the people who deal with them and the ways in which they deal with their problems. In-depth learning is the kind of automated learning that uses a set of complex algorithms, to extract high data abstraction from raw data. Through the construction of a hierarchy of these algorithms to arrange the data and classification and extraction of useful ones, to be stored, modified or analyzed. Massive data contains pieces of information, which are the useful part of this data, and "in-depth learning" is the most promising solution to extract these useful parts of the huge content. In-depth learning is therefore a very important tool for making analysis of "large data" easier by providing analytical tools with abstract representation of data. Finally, the analysis of large data with the help of in-depth learning makes a significant contribution to development and innovation in various sectors, such as health care, banking, education, etc., which make in-depth learning one of the most sought-after areas in the world.
https://www.upwork.com/hiring/for-clients/artificial-intelligence-and-natural-language-processing-in-big-data/
Dear Eduard Babulak,
Please see the following link:
https://www.upwork.com/hiring/for-clients/deep-learning-definition-benefits-challenges/
https://www.datapine.com/blog/business-intelligence-trends/
http://www.fico.com/en/analytics/advancing-artificial-intelligence-and-machine-learning
- Badges
- Science topic