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Data Science
This is a guest post from Naa Ashiorkor, a data scientist and tech community builder.
Building intelligent systems that can see, hear, understand language, and make decisions was previously the domain of specialized researchers with massive computing resources only – today, deep learning has made this accessible to developers and data scientists across the world, bringing the ability to build, train, and deploy AI models within reach.
This accessibility can be credited to deep learning frameworks, and one such framework is PyTorch, which has rapidly become the prevailing choice across both research and industry. PyTorch is an open-source deep learning framework built in Python and designed to make building neural networks intuitive.
