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The onset of Graphical Processing Units (GPUs), and the exponential computing power they unlock, has been a watershed moment for startups...
Federated learning is a machine learning technique that allows multiple parties to train a model without sharing their data. It is being used across several industries,...
Graphs, a potentially extensive web of nodes connected by edges, can be used to express and interrogate relationships between data, like social connections, financial...
This article was published as a part of the Data Science Blogathon. Source: Reference 1 Introduction Tensorflow is a popular open-source machine learning framework developed by Google. It is primarily used by machine learning practitioners in research and industry for the training and inference of deep neural networks. Instead of building machine learning and deep learning […]
