5 AI Tools Every Data Scientist Should Use

IndustryTrends

TensorFlow: A popular open-source library for machine learning that provides a flexible framework for building and deploying AI models

Scikit-learn: A powerful Python library for data analysis and machine learning that offers a wide range of algorithms and tools for model training and evaluation

PyTorch: Another popular open-source machine learning library that offers dynamic computation graphs and is widely used for deep learning applications

Jupyter Notebooks: An interactive coding environment that allows data scientists to create and share documents containing live code, visualizations, and explanatory text

Keras: A user-friendly, high-level neural networks API that is built on top of TensorFlow and simplifies the process of building and training AI models.

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