Data mining is a process of examining and exploring data using statistical and algorithmic techniques to extract useful information and meaningful knowledge. Data mining is used in a variety of fields, including artificial intelligence, machine learning, data mining, statistics and social sciences.
Data mining involves collecting, cleaning and organising data for further analysis. Statistical and algorithmic analysis techniques are then applied to discover patterns, relationships and trends in the data. These techniques may include exploratory data analysis, descriptive analysis, correlation analysis, regression analysis, clustering analysis, time series analysis, among others.
In the context of artificial intelligence and machine learning, data mining is used to train machine learning models and validate their performance in different situations. In addition, data mining can also be used to evaluate and improve the performance of machine learning models in real-life situations.
Data mining is an essential part of artificial intelligence and machine learning, as it provides valuable information for decision making and predictive modelling.
Intelligent Process Automation in companies has changed in the world very rapidly in recent years. The COVID-19, the interr [...]
Read More »The banking sector has undergone considerable transformations over the past 10 years. Especially as banking has become more integrated and [...]
Read More »There is a consensus among executives of the world's leading companies about the crucial impact that Artificial Intelligence (AI) will have on the [...]
Read More »Fraud detection software is an important tool for protecting companies and individuals from fraudulent activity and minimizing the risk of fraud.
Read More »