For wolves, playtime isn’t only fun, it strengthens family bonds + reaffirms social status within the pack.
When seeking to play, wolves will dance + bow playfully. Playtime can also include a game of chase, jaw sparring, + varied vocalizations.
I'm not sure about the realist use cases for data scientists and small companies, since often the use of RL can be more resource intensive than its benefits. But it is a possible trend to look at. #MachineLearning
"Reinforcement Learning Will Be 2019's Biggest Trend In Data Science"
I have the feeling that after the first hype #Julia is has lost momentum as concurrent to #Python in Data Science.
It is difficult, regardless how good is the language, to compete with a established programing language like Python with a broad community and lots of good open source libraries.
Anyway, an article with the opposite opinion: "Julia vs. Python: Julia language rises for data science"
More consumers turn away from Apple in #Korea
An increasing number of Korean consumers are turning their backs on Apple based on the notion that iPhones offer a limited scope of functions in addition to the inconvenience of the iOS operating system, while #Apple continues to maintain its high price policy. #iPhone
@alan I also feel the same way. My issue is the interpretability of DL models. Especially, when developed by people who lack knowledge in some basic ML concepts. This has frustrated me enough that I started a movement around what I call Shallow Learning. Most of what people think they need a DL model for, could easily be a good fit for logistic regression or some simple decision tree logic.
5 Important Artificial Intelligence Predictions (For 2019) Everyone Should Read
Artificial Intelligence – specifically machine learning and deep learning – was everywhere in 2018 and don’t expect the hype to die down over the next 12 months.