Remove 2020 Remove Deep Learning Remove Natural Language Processing
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30 Challenging Open Source Data Science Projects to Ace in 2020

Analytics Vidhya

Overview Check out our pick of the 30 most challenging open-source data science projects you should try in 2020 We cover a broad range. The post 30 Challenging Open Source Data Science Projects to Ace in 2020 appeared first on Analytics Vidhya.

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AI trends in 2023: Graph Neural Networks

AssemblyAI

Introduction Graph data is everywhere in the world: any system consisting of entities and relationships between them can be represented as a graph. PinSage is able to predict in novel ways which visual concepts that users have found interesting can map to new things they might appeal to them.

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Computer Vision and Deep Learning for Education

PyImageSearch

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. As soon as the system adapts to human wants, it automates the learning process accordingly.

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The benefits of AI in healthcare

IBM Journey to AI blog

AI technologies like natural language processing (NLP), predictive analytics and speech recognition can lead to healthcare providers having more effective communication with patients, which can lead to better patient experience, care and outcomes. AI can also improve accessibility. According to the U.S.

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Commonsense Reasoning for Natural Language Processing

Probably Approximately a Scientific Blog

This long-overdue blog post is based on the Commonsense Tutorial taught by Maarten Sap, Antoine Bosselut, Yejin Choi, Dan Roth, and myself at ACL 2020. Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right).

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Streamlining ETL data processing at Talent.com with Amazon SageMaker

AWS Machine Learning Blog

In line with this mission, Talent.com collaborated with AWS to develop a cutting-edge job recommendation engine driven by deep learning, aimed at assisting users in advancing their careers. The following is the sample code to schedule a SageMaker Processing job for a specified day, for example 2020-01-01, using the SageMaker SDK.

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Introduction To Deep Learning With Fastai: This Is Why Deep Learning Can Work For Everyone

Dlabs.ai

If you Google ‘ what’s needed for deep learning ,’ you’ll find plenty of advice that says vast swathes of labeled data (say, millions of images with annotated sections) are an absolute must. You may well come away thinking, deep learning is for ‘superhumans only’ — superhumans with supercomputers. Sounds interesting?