Tools

In the context of Data Science and Artificial Intelligence, tools refer to software applications, platforms, libraries, and frameworks that are used to perform various tasks such as data collection, data cleaning, data analysis, machine learning, and visualization. These tools are designed to simplify and automate complex processes, reduce human error, and improve the efficiency and accuracy of data-related tasks. Some popular tools used in Data Science and Artificial Intelligence include Python, R, TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy, Matplotlib, Tableau, and Power BI. These tools are constantly evolving and improving, and new ones are being developed to meet the growing demands of the field.
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  • High-level Languages: High-level languages are programming languages that are designed to be easily read and written by humans. They are abstraction layers over low-level languages, which are closer to the machine code that computers understand. High-level langu ... Read More >>
  • Dataset: A dataset is a collection of data that is organized in a specific format. In the context of data science and artificial intelligence, a dataset is a structured collection of data that is used for analysis and machine learning. Datasets can ... Read More >>
  • HTTP: HTTP (Hypertext Transfer Protocol) is an application protocol used for transmitting data over the internet. It is the foundation of data communication for the World Wide Web. HTTP is a request-response protocol, where the client sends a req ... Read More >>
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