Facebook built a chatbot to help employees deflect criticism over the holidays

Illustration by Alex Castro / The Verge
Facebook’s public image is in such a disastrous state that the company’s public relations team built an artificial intelligence-powered chatbot to help its employees deflect criticism from family members over the holidays, reports The New York Times.

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How Mark Zuckerberg failed his 2019 personal challenge

Image: The Verge
As 2019 dawned and Mark Zuckerberg announced this year’s personal challenge, I suggested it might be time to retire the concept altogether. Zuckerberg’s “challenge,” as he described in a Facebook post, would be to “host a series of public discussions about the future of technology in society.

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Ubiquiti’s new AmpliFi Alien router has Wi-Fi 6 and a touchscreen for $379

Image: Ubiquiti
Ubiquiti has announced its first Wi-Fi 6 router, the AmpliFi Alien. The tri-band router supports the latest Wi-Fi 802.11ax standard and includes four gigabit LAN ports on its rear, along with a single WAN port to receive an internet connection. You can also pair multiple units together to create a mesh network. The router costs $379 and is available now from AmpliFi.com.

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Improving Neural Architecture Search Image Classifiers via Ensemble Learning – implementation –

** Nuit Blanche is now on Twitter: @NuitBlog ** Improving Neural Architecture Search Image Classifiers via Ensemble Learning by Vladimir Macko, Charles Weill, Hanna Mazzawi and Javier Gonzalvo‎AdaNAS is an algorithm for learning an ensemble that improves the performance of neural architecture search models while having a similar parameter count as single large model.

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design principles for data pipelines

(Image: ‘Tower of Babel’ by Pieter The Elder Bruegel, 1563)
Underinvestment in and misunderstanding of ETL is a silent killer in organizations.  It’s why reports are often delayed, why answers across systems rarely agree, and why more than 50% of corporate business intelligence initiatives fail.
ETL is hard because data is messy.

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data visualization is a halfway house

(Image credit: A.Koblin for RadioHead)
This is a phrase that has stuck with me since Tim O’Reilly uttered some form of it two years ago.  Tim was talking about online cartography, saying it’s not the maps that matter: it’s getting to our destination.  Maps are a half-step short of that goal.

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A Docker Image for Graph Analytics on Neo4j with Apache Spark GraphX

I’ve just released a useful new Docker image for graph analytics on a Neo4j graph database with Apache Spark GraphX. This image deploys a container with Apache Spark and uses GraphX to perform ETL graph analysis on subgraphs exported from Neo4j. This docker image is a great addition to Neo4j if you’re looking to do easy PageRank or community detection on your graph data.

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Theories of (machine) learning should shape horizon scanning – not just application

And no, not this kind of horizon… (image credit)
In a recent newsletter, Alice mused about how evolving views and theories of learning are shaping machine learning research and practice. If you’re an enterprise data scientist you’re very much focused on the practice of machine learning.

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Drawing with GoogLeNet

In my previous post, I showed how you can use deep neural networks to generate image examples of the classes it’s been trained to classify. Since we’ve already started using deep neural networks in ways they were never intended to be used, let’s abuse them some more.
There’s nothing constraining us to generate image examples of one class at a time.

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