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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