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Single-purpose search engines can be magical. Grading student work is much fun. In this instance I typed 'home' and got this song: https://www.youtube.com/watch?v=rjlSiASsUIs … P.S. top comment on it says: "This song is responsible for half the population!"
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Submitted my PR to bert-as-service. It fixes an issue with connecting client to the server: now building a Q&A semantic search engine takes 3 minutes https://github.com/hanxiao/bert-as-service/pull/496 …pic.twitter.com/MIJBeAGyjq
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@yandex creates really unique services and pays lots of attention to detail. I think .@Google has room to catch up, despite being the dominant search engine in many countries. In this video we can track a tram on its route in Saint Petersburg in real time. I think it's awesomepic.twitter.com/ldYQ8IqvgR -
Great to see colleague name mentioned — Mathias Creutz’s work on Morfessor
#AINLpic.twitter.com/UfamaBfXkm
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Tackling rich morphology with a Bi-LSTM model at
#AINL conf https://ainlconf.ru/2019/program pic.twitter.com/CdOwM11T3x
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Andrey Kutuzov, PhD student at University of Oslo, gives tutorial on Diachronic semantic shifts, when words can change usage (and meaning) over time at
#AINL conferencepic.twitter.com/Zf8qqvKopU
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#AINL conference kicked off in Tartu. https://ainlconf.ru/2019/program pic.twitter.com/onjjnl4Azm
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been teaching local university course using Finnish wikipedia dump -- fantastically online resources like https://youtu.be/2VkFQTqrRYo still apply to newer versions of Solr
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Andrew Ng: "may be this picture looks a little bit complicated". This is course 4 of the Deep Learning specialization. Compared to course 1 this picture looks _very_ complicated. And this is an additional motivation and pride to have studied courses 1-3.pic.twitter.com/6Y3LpSmR6p
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Congratulations! I have learnt a lot from your early talk on large scale systems and search https://youtu.be/modXC5IWTJI Wish many more discoveries in the future!
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It is impressive, that as simple a neural network as the one based on logistic regression with sigmoid activation (forward pass) and gradient descent (backward pass) trained on a small dataset of 209 cat / non-cat images achieves 90% accuracy on train set and 70% on test set.pic.twitter.com/1C6ChvETwC
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Come listen, discuss and learn about dealing with text data to improving your service business -- tomorrow in Kyiv. https://www.facebook.com/events/371813143451390/ …pic.twitter.com/o3zSTCrnWm
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As a throwback here is video with my question on dynamic filter queries, that won #1 place in the Stump the Chump session by
@_hossman at Lucene Revolution Dublin 2013. Enjoy! https://www.youtube.com/watch?v=M48AGXQtdAo&feature=youtu.be&t=1839 …#opensource#lucene#solr#elasticsearch#lukePrikaži ovu nit -
.@venajantunnit says the language course students are usually in a daily life rush and progress slowly as a resultpic.twitter.com/6zDZE49ylX
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@elonmusk Armenian tech for fixing car body. May be you will like it:https://www.youtube.com/watch?v=Xe8SdbJCJ8w&feature=youtu.be … -
In addition to my earlier post about company culture, here are more thoughts on challenges and approaches in building solid tech teams: Interview about future of product development - Dmitry Kan, AlphaSense https://youtu.be/yzuAPWWmvEM via
@YouTube -
Blogged on major bits of a company culture that can contribute to building a good work environment. https://dmitrykan.blogspot.com/2019/04/company-culture.html …pic.twitter.com/RYyyIdb36t
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Kinda cool to be crossing 101k mark at .
@Quora More to do on the road to 1M.#machinelearning#knowledgesharing#ai#knowledgenetspic.twitter.com/IuUr02WxH5
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