Data science is an interdisciplinary field that combines techniques and tools from statistics, mathematics, computer science and business domains to extract knowledge and value from data. The goal of data science is to discover patterns, trends and relationships in data that enable informed decisions and solve complex problems in different areas, such as medicine, biotechnology, marketing, industry, among others.
It deals with processing data in various structured or unstructured forms which is usually the continuation of the fields of statistical data analysis.
Data science involves a series of steps from data collection and cleaning, through exploratory analysis, modelling and evaluation, to communication and presentation of results. A variety of data analysis techniques and tools are used, such as data mining, machine learning, data visualisation, and others.
The content of this article synthesizes part of the chapter "Concept and brief history of Artificial Intelligence" of the thesis Generation of Artificial [...]
Read More »Artificial Intelligence (AI) derives from a series of models or branches that can be used in different areas of people's lives, as well as in different areas of [...]
Read More »When seeking financing for companies, one of the most widely used formulas today is factoring. This is a resource that is not always [....]
Read More »Churn, or customer churn rate, is a constant challenge for today's businesses. The ability to retain customers is a constant challenge for today's companies.
Read More »