What tools and frameworks are essential for AI Development?
The question is about ai
Answer:
The main tools and frameworks for supporting the development of AI are TensorFlow, PyTorch, and Scikit-learn. This is informed by the extended support that happens from both TensorFlow and PyTorch, especially on deep learning. Other functional tools, other than those defined above, happen in the way of prototyping and collaborative coding on Jupyter Notebooks.
Where Docker allows the containerization of applications, it enables coherence between different conditions. In this case, the practical, efficient, and easily usable tools of data mining to be used for hypothesis testing and data analysis may relate to Scikit-learn.