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.
If you don't know the difference between an ERP (Enterprise Resource Planning) system and a CRM (Customer Relationship Management) system, here's what you need to know about the [...]
Read More »Once the basic concepts for building a commercial software with artificial intelligence are clear, where it is defined to whom to dedicate effort and [...]
Read More »Intelligent Process Automation in companies has changed in the world very rapidly in recent years. The COVID-19, the interr [...]
Read More »To know how semantic technology works, the first thing you need to know is that it is responsible for helping artificial intelligence systems [...]
Read More »
