12/06/2022 | By: FDS
AI algorithms are algorithms that use machine learning and artificial intelligence to solve problems. They can be used to analyze data, make decisions, and solve problems. For example, AI algorithms can be used to improve the performance of robots, detect spam emails, or automate tasks such as driving a car.
12/06/2022 | By: FDS
Data cleansing is a technique used to clean databases to eliminate erroneous, incomplete or inaccurate data. It also includes correcting formatting errors, enabling data integration, removing duplicates, and softening or adjusting non-standard data. Data cleansing is an important part of extract-transform-load (ETL) processes, where data is imported into a database from multiple sources and then stored in a user-friendly format.
12/06/2022 | By: FDS
Data wrangling is the process of converting or mapping data from one source to another so that it can be used for analysis or other purposes. It may involve cleaning, adapting, analyzing, transforming, and modifying data so that it can be converted to another format suitable for the application purpose.
12/06/2022 | By: FDS
Predictive analysis is a process used to predict or forecast future events by using data from the past and current state. It is used to make better decisions by identifying similar trends and developments. It helps companies better understand risk by predicting potential outcomes. It also enables companies to better predict customer behavior and increase sales.
12/06/2022 | By: FDS
Data processing is the process of capturing, storing, manipulating, processing, and presenting data to achieve a specific goal. It is a central component of most modern computer and information systems and helps to facilitate everyday tasks by enabling people to process data in an efficient manner.