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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Facebook launches new market research app after shutting down its controversial VPN service

Illustration by Alex Castro / The Verge
Facebook has a new market research app launching today called Viewpoints, just a few months after the company introduced an Android data collection app called Study designed to monitor what and for how long users are accessing other software on the Google-owned operating system.
Both apps have a controversial history.

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Condé Nast’s CEO still isn’t sure about the impact of Apple News Plus

Illustration by Alex Castro / The Verge
Condé Nast’s CEO Roger Lynch thinks that Apple’s premium magazine service, Apple News Plus, has yet to prove itself, Variety reports. Speaking at Recode’s Code Media conference in Los Angeles the CEO said that “the jury is out” on Apple’s $9.99 a month subscription service.

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Labeling, transforming, and structuring training data sets for machine learning

The O’Reilly Data Show Podcast: Alex Ratner on how to build and manage training data with Snorkel.In this episode of the Data Show, I speak with Alex Ratner, project lead for Stanford’s Snorkel open source project; Ratner also recently garnered a faculty position at the University of Washington and is currently working on a company supporting and extending the Snorkel project.

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New Wikipedia-Based Cognitive Model Available for Text Processing

 
Blog Posting By Alex Sakharov, Principal Member of Technical Staff, Data Mining Technologies
Explicit Semantic Analysis (ESA), a new feature in Oracle Advanced Analytics Release 12.2, uses concepts of an existing knowledge base as features rather than latent features derived by latent semantic analysis methods such as Singular Value Decomposition and Latent Dirichlet Allocation. Each row e.g.

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So what is Machine Learning good for anyway?

A few weeks ago, a friend and colleague (Alex G.) asked me this question. He was aware of recent breakthroughs in the world of Machine Learning, esp. where it came to computer vision. Popular media picked up these relatively recent successes and brought them to the center of attention and then started projecting a future where machines are going to render humans obsolete.

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