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21 October, 2020 07:23

https://azure.microsoft.com/en-us/updates/azure-cognitive-services-translator-canadian-french-language-text-translation-now-available/

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2010.10442 BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search

https://arxiv.org/abs/2010.10442

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e-commerce-search/bert2dnn: Large Scale BERT Distillation

https://github.com/e-commerce-search/bert2dnn

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adamerose/pandasgui: A GUI for Pandas DataFrames

https://github.com/adamerose/pandasgui

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How to create and deploy a model card in the cloud with Scikit-Learn

How to create and deploy a model card in the cloud with Scikit-Learn

https://cloud.google.com/blog/products/ai-machine-learning/create-a-model-card-with-scikit-learn

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20 October, 2020 15:04

https://github.com/pytorch/fairseq/tree/master/examples/m2m_100

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Why No-Code and Low-Code Software Is the Industry Disrupter You Should Pay Attention To | Inc.com

https://www.inc.com/soren-kaplan/why-no-code-low-code-software-is-industry-disruptor-you-should-pay-attention-to.html

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Find Code for Research Papers – CatalyzeX

https://chrome.google.com/webstore/detail/find-code-for-research-pa/aikkeehnlfpamidigaffhfmgbkdeheil

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Spark and Docker: Your Spark development cycle just got 10x faster !

https://www.datamechanics.co/blog-post/spark-and-docker-your-spark-development-cycle-just-got-ten-times-faster

Spark and Docker: Your Spark development cycle just got 10x faster ! – Data Mechanics Blog
Native support for Docker is in fact one of the main reasons companies choose to deploy Spark on top of Kubernetes instead of YARN. In this article, we will illustrate the benefits of Docker for Apache Spark by going through the end-to-end development cycle used by many of our users at Data Mechanics.
www.datamechanics.co
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How to Build a Scalable Data Analytics Pipeline

https://www.freecodecamp.org/news/scalable-data-analytics-pipeline/

How to Build a Scalable Data Analytics Pipeline
As the data keeps growing in volume the data analytics pipelines have to be scalable to adapt the rate of change. And for this reason, choosing to set up a the pipeline in cloud makes perfect sense (since cloud offers on-demand scalability and flexibility). In this article I will demystify how to build a scalable and adaptable data processing pipeline in Google Cloud.
www.freecodecamp.org