AI and ML can be used in big data analytics to make sense of data, predict outcomes, and automate processes. 

Using TensorFlow, AI and ML models can be created to analyze large data sets. 
This technology can be used to uncover patterns, correlations, and trends in the data. This can then be used to make decisions, such as predicting customer behavior or predicting stock prices. 

Using Numpy, data can be represented in a mathematical form and operations can be applied on it. This allows for efficient computation of large data sets. 
Anaconda is an open source distribution platform for data science, machine learning, and scientific computing. 

It includes tools such as Jupyter notebooks, which allow for interactive data exploration and analysis. This can be used for data visualization, data exploration, and machine learning algorithms. 
JupyterHub is an open source platform for collaborative data science. It allows users to create, share, and collaborate on data science projects. It also provides a platform for running code, creating visualizations, and exploring data. 

PyTorch is an open source deep learning platform for creating and deploying AI and ML models. 
It provides a library of tools for creating and training models.

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