BigML expands to China by allowing over 1 billion people to use the BigML platform in their native language.
新年快乐！Happy Chinese New Year!
It’s only fitting that we release the BigML Dashboard in Chinese at this time of the year.
Since its very beginning, BigML has strived to make Machine Learning Beautifully Simple for Everyone (机器学习美观简单人人用). Today our journey reached another milestone by allowing over 1 billion people to use the BigML platform in their native language.
You can change the website language on BigML by using the selector highlighted in the image below. While the web interface will appear different, all the BigML functionalities remain the same.
When you sign up, your BigML username will still have to be alphanumeric, but you can use Chinese in your “Full Name”. After logging on, all Dashboard features are identical to the English version. You can create and manage all resources and workflows the same way.
You can watch this video to check out the BigML Dashboard in…
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Link (you will need to provide some info to download the report)
On November 14, 2017, a terrible event (by Japanese standards) took place on a railroad: a train left Minami-Nagareyama station 20 seconds ahead of schedule! When the company noticed, it began to panic and issued an apology to the offended customers:
“We deeply apologize for the severe inconvenience imposed upon our customers,” the Metropolitan Intercity Railway Company said.
I am sure most passengers didn’t even notice a problem existed. And this wouldn’t be an issue in 99.9% places around the world.
A few years ago, my wife and daughter were traveling around South Europe… At one point, they boarded an inter-city bus. While some passengers were still waiting outside preparing to board it, the bus suddenly took off and left the station 10 mins (!) ahead of its schedule and mostly empty. I am pretty sure that the bus company didn’t apologize for that to its passengers. In fact, there is a chance that that bus drives got a raise for “taking initiative” or something as such.
Different places, different cultures.
The new Netflix TV Series Altered Carbon will attract lots of Science Fiction fans, including me. My first impression, after watching six episodes, is, generally, positive. I still prefer Stranger Things by a wide margin (and look forward to its 3rd season). Or, an older (still outstanding!) show, Fringe. Altered Carbon impresses with the level of imagination, the quality of special effects, and the scale of problems it is trying to address. Kudos to Netflix for taking on such a complex and expensive project. The weak spot for the show is the likability of the main characters: they are not bad but not as likable as the protagonists from the two other above-mentioned successful shows.
One question I keep having after watching this kind of movie or TV series is: why is the dystopian version of the future so attractive to writers and the movie-makers? Is this really what people writing books and making movies believe the most-likely future will look like for us?
Dark, dangerous cities filled with drugs, crime, prostitution, illegal businesses, gangs and heavily-armed police forces. Corrupt, nearly-omnipotent individuals and corporations controlling everything and everyone. Everything is for sale. The democracy is fictional and is alike to Potemkin’s village. And, generally, a hopeless, sick, suppressed, poor, and desperate population waiting for their hero.
Not too different from a version of the world in Total Recall (this is the 2012 version):
Or, the recent Blade Runner 2049 (2017):
I could add may other movies to the list… In fact, after a quick search, I found such a list of dystopian movies (all 200 or so of them).
What is up with all the negativity? Why is s it so much easier to sell this kind of story today than a vision of a successful, happy, safe, and prosperous future where most of us are healthy and enjoying life? A future that looks something like this: a green, smart (IoT-wise), friendly, safe city, Paris 2050 (by Vincent Callebaut, link).
A place that the “future me” actually wants to live in.
This is an “anti-rating”: being the first on this list is bad.
These are the top 10 producers of CO2 emissions worldwide in 2016 (likely, 2017 as well), based on their share of global CO2 emissions.
C’mon, China-US-India-Russia-Japan, control your emission!
Hope these pilots knew what they were doing… Taking risks like these is not recommended unless there are no other options left.