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What is Text Classification?
We will define text classification, how it works, some of its most known algorithms, and provide data sets that might help start your text classification journey.
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Primary Supervised Learning Algorithms Used in Machine Learning
In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.
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How to Start Using Natural Language Processing With PyTorch
In this guide, we will address some of the obvious questions that may arise when starting to dive into natural language processing, but we will also engage with deeper questions and give you the right steps to get started working on your own NLP programs.
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How to Create a Dataset for Machine Learning
Datasets - properly curated and labeled - remain a scarce resource. What can be done about this?
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5 Ways To Use AI For Supply Chain Management
Using AI to help optimize supply chain management is becoming more prevalent across industries. Early adopters are more resilient and prepared for the inevitable future of artificial intelligence within the supply chain management industry.
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Federated Learning: Collaborative Machine Learning with a Tutorial on How to Get Started
Read on to learn more about the intricacies of federated learning and what it can do for machine learning on sensitive data.
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What Are NVIDIA NGC Containers & How to Get Started Using Them
NVIDIA, the pioneer in the GPU technologies and deep learning revolution, has come up with an excellent catalog of specialized containers that they call NGC Collections. In this article, we explore their basic usage and some variations.
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7 Top Open Source Datasets to Train Natural Language Processing (NLP) & Text Models
With a lot of excitement and research around NLP, there are growing opportunities to apply these technologies to real-world scenarios. It's not trivial to become familiar with NLP and these open-source data sets can help you increase your skills.
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Advanced PyTorch Lightning with TorchMetrics and Lightning Flash
In this tutorial we will be diving deeper into two additional tools you should be using: TorchMetrics and Lightning Flash. TorchMetrics unsurprisingly provides a modular approach to define and track useful metrics across batches and devices, while Lightning Flash offers a suite of functionality facilitating more efficient transfer learning and data handling, and a recipe book of state-of-the-art approaches to typical deep learning problems.
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Getting Started with PyTorch Lightning
As a library designed for production research, PyTorch Lightning streamlines hardware support and distributed training as well, and we’ll show how easy it is to move training to a GPU toward the end.
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Kevin Vu manages Exxact Corp blog and works with many of its talented authors who write about different aspects of Deep Learning.
