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My 6 Best Machine Learning Articles - DataScienceCentral.com

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Since starting my own AI / machine learning research lab over a year ago, I published 24 technical papers and 4 books, in addition to my articles on …

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20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019

Analytics Vidhya

Introduction High-quality machine learning and deep learning content – that’s the piece de resistance our community loves. The post 20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019 appeared first on Analytics Vidhya. That’s the peg we hang our hat.

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Deploying Machine Learning Models at Scale: Strategies for Efficient Production

insideBIGDATA

In this contributed article, freelance writer Ainsley Lawrence briefly explores deploying machine learning models, showing you how to manage multiple models, establish robust monitoring protocols, and efficiently prepare to scale.

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CCC Webinar: Best Practices When Using XML Articles in AI, Machine Learning and Text Mining Projects

KDnuggets

12 to learn how to simplify the process of using scientific literature within your AI, machine learning, and text mining projects. Register now for this webinar on Jan.

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How to Learn Artificial Intelligence?

Analytics Vidhya

Whatever your goal is, be it becoming a data scientist, machine learning engineer, AI researcher, or just being fascinated by the world of artificial intelligence, this guide is designed for you. In this in-depth article, you will find out the basics of learning AI from scratch, […] The post How to Learn Artificial Intelligence?

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The Data Disconnect: A Key Challenge for Machine Learning Deployment

insideBIGDATA

This article is excerpted from the book, "The AI Playbook: Mastering the Rare Art of Machine Learning Deployment," by Eric Siegel, Ph.D., with permission from the publisher, MIT Press.

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Transfer Learning in Computer Vision 

insideBIGDATA

In this contributed article, Ihar Rubanau, Senior Software Developer at Sigma Software Group, discusses how transfer learning has become a popular technique in computer vision, allowing deep neural networks to be trained with limited data by leveraging pre-trained models.