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[D] Results from Best of Machine Learning 2017 Survey • r/MachineLearning

@machinelearnbot

If you missed that thread and there's something you want to mention, post it and I'll put it up. Lots of categories didn't have an entry. You can also make a category yourself. "and we all realized what a pain in the ass Tensorflow was and how it didn't need to be that way. In the academic community, it certainly to me feels like pytorch has become the dominant framework (probably not backed up by actual stats... But my school's CV research lab has certainly switched over)" I might have nominated distill.pub


[R] [1801.00631] "Deep Learning: A Critical Appraisal" by Gary Marcus • r/MachineLearning

@machinelearnbot

Yes, to be fair a lot of the points are valid, but they come from a wishy-washy, non-technical angle (one could argue this is because of his intended audience, but I submit that part of this is because of his lack of ML knowledge). And they are already well-known.


Our Conflicted Feelings For R2-D2 - Issue 55: Trust

Nautilus

The iconic line from Star Wars, in which Luke Skywalker discovers the real identity of Darth Vader, marks the point in the series when two polar opposites that had been cleanly divided--the Jedi and the Dark Side--are suddenly mixed together in the most personal of ways. This ambiguity of opposition, which is part of what makes the series so compelling, is well known. There is another example of this opposition, though, that is easier to overlook: Star Wars both humanizes machines, so that we can like them, and dehumanizes them, so we can accept their slaughter. By the conclusion of the series, we feel a genuine warmth for the droid characters, R2-D2, C-3PO, and BB-8 and a concern for their safety. But why, when we know they are just machines? Part of the answer is that R2-D2, BB-8, and C-3PO certainly act as though they have a wide range of feelings.


Robots show they can foresee their own future The Political Side of Things

#artificialintelligence

FiveThirtyEight pitted 50 movies against 12 new ways of measuring Hollywood's gender imbalance The Bechdel-Wallace Test -- more commonly abbreviated to the Bechdel Test -- asks two simple questions of a movie: Does it have at least two named female characters? And do those characters have at least one conversation that is not about a man? A surprising number of films fail the test. Although the test is punchy and has become pervasive, it doesn't address the core inequalities in Hollywood films. Alison Bechdel -- an acclaimed cartoonist who was awarded a MacArthur "genius" grant in 2014 and whose memoir was adapted into a Tony Award-winning musical -- in no way set out to solve Hollywood sexism when she wrote the test into a comic strip in the mid-1980s.


Human beings -- not technology -- are the scariest things in 'Black Mirror's' Season 4

Washington Post - Technology News

SPOILER ALERT: This piece contains extensive spoilers for the new season of "Black Mirror." "Black Mirror," and its creator Charlie Brooker, are sometimes spoken about in terms of prophetic ability. That 2011 episode about a prime minister and a pig resonated in the real world. There's "The Waldo Moment," which generated viral headlines crediting the episode with predicting President Trump's rise to power. And then there's "Nosedive," the episode set in a world where a person's life depends on their rating out of five on a social media app -- enter China's idea for a "social credit" system.


Amazon says over 5 bln items shipped in 2017 via Prime

Daily Mail - Science & tech

Inc said on Tuesday it shipped over 5 billion items worldwide via its subscription based Prime service in 2017 while adding more new members than ever before. The e-commerce giant, which revealed its Prime shipment numbers for the first time, did not give comparable full-year shipment number for 2016. Amazon claimed that its Fire TV Stick and voice controlled smart device Echo Dot were the best-selling products among U.S. Prime members from any manufacturer in any category across all of its product offerings. The e-commerce giant, which revealed its Prime shipment numbers for the first time, did not give comparable full-year shipment number for 2016. Customers can receive free two-day shipping on most items by paying for a $99 annual'Prime' membership.


Amazon 'set to buy Target in 2018'

Daily Mail - Science & tech

Loup Venture co-founder Gene Munster made the claim in a report highlighting eight predictions for the technology industry in 2018. 'Target is the ideal offline partner for Amazon for two reasons, shared demographic and manageable but comprehensive store count,' Munster wrote. Loup Venture co-founder Gene Munster made the claim in a report highlighting eight predictions for the technology industry in 2018. The analyst, best known for his incorrect prediction Apple would make its own TV set, claims the timing of the deal is hard to know. 'Getting the timing on this is difficult, but seeing the value of the combination is easy.' 'Amazon believe's the future of retail is a mix of mostly online and some offline,' Munster wrote.


Seven Reasons AI Will Take Over HR – and One Reason It Won't - Future Of Work

#artificialintelligence

Artificial intelligence (AI) has streamlined many human resource processes. These sophisticated computer programs excel at recognizing patterns, planning, and adapting in ways that mimic human thought. Unlike people, however, who can grow tired, bored, or even bring unconscious biases into their decisions, AI programs are fast, tireless, and efficient. AI is increasingly being used to automate many HR processes. Let's consider seven ways AI improves efficiency in HR.


[D] How to deal with non-Markovian decision processes with large/infinite horizon using MCTS? • r/MachineLearning

@machinelearnbot

Quick google search will tell you that MCTS is applicable to large/infinite horizon RL tasks. But it seems that there's no empirical confirmation that it works as well as on Go. Assume that no rollout is used just as in AlphaZero. Go's state space is larger than other games, but its horizon length is small (not much larger than 100 timesteps). The state space of many real-world problems grows exponentially w.r.t. the timestep in the following sense.


[P] Pricing strategy using reinforcement learning • r/MachineLearning

@machinelearnbot

I really like your write up on this. As someone that does pricing for saas, I would say that if you look beyond theoretical application of this you will run into the customer perception problems you listed (changing prices, and especially fairness if people are being charged differently). There may be ways you can obfuscate these price differentials through opaque marketplaces or private contracts. This is easiest on small transactions with understood variability (aws spot pricing, etc). I would also add that value based pricing doesn't ignore competition, it's just very hard to assess value regardless of direct competition unless you are dealing in commodities.