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Machine Learning and AI
Just for Fun
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The Most Complete Guide to PyTorch for Data Scientists
PyTorch has sort of became one of the de facto standards for creating Neural Networks now, and I love its interface.
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Measuring Gendered Correlations in Pre-trained NLP Models
Posted by Kellie Webster, Software Engineer, Google Research Natural language processing (NLP) has seen significant progress over the pa...
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Using machine learning with RavenDB
In this post, I’m going to walk you through the process of setting up machine learning pipeline within RavenDB. The first thing to ask, of course, is what am...
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Machine Learning Engineering by Andriy Burkov
This is companion wiki of the Machine Learning Engineering by Andriy Burkov. Machine Learning Engineering is the first book on practical aspects of building machine learning systems for production.
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Google, Stanford, & MIT Top NeurIPS 2020 Accepted Papers List
NeurIPS 2020 released its list of accepted papers this week with Google, Stanford, and MIT as the top affiliations.
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A Guide to Deep Learning and Neural Networks
The difference between deep learning and neural networks is often confusing for beginners. What does it mean for an algorithm to be “deep”? What types of neural networks exist out there? You’ll learn ...