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.
We often wonder what examples of AI we can find in our environment, and the fact is that artificial intelligence is a concept that in English has [...]
Read More »Clustering methods, or grouping, are a fundamental part of the data analysis process, since they allow an automatic segmentation of the data [...]
Read More »Unlike a computer program, in which a list of commands are processed through a computer program, AI goes beyond the [...]
Read More »Deep learning translates as deep learning and is a type of artificial intelligence (AI) that is encompassed within machine learning.
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