Corona Virus pandemic is killing machine learning?
Yong Xune Xon (YONG). 2020-03-26
Corona, one of the famous names of beer, has killing people. The globe is fluctuating and shutting down now. Many people worry about the impact of the lethal COVID-19 outbreak. Some machine learning and data science guys are working deep on analyzing and modeling diffusion of infection and others trying to dive deep into discovering remedies using data to fight the virus.
In the mean time, I've checked some other aspects of the outbreak's impact on the world. The movement of interests on popular things like netflix, youtube. And compared with machine learning. Then, what do you expect?
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Machine learning is one of the hot keywords in the age of this digital world. But, as you can see in the above chart, machine learning(ML in short) is literally diving deep since the soaring outbreak (~202-03-22).
The two most comfy and handy pastimes (Youtube and Netflix) is uprising during the same period of time. We all know that many big cities like NYC and Rome are in emergency and shut down. People are forced stay at home. It is definitely natural to see the upsurges.
When people are in danger, they typically show different behaviors from the normal patterns. Unfortunately people reduced or nearly quit to spend time to search for ML. (See the falling in March in the chart below.) We can understand why. No need to explain this. It's just a sad and very unfortunate fact.
A correlation network chart generated from last 12 months period pretty clearly shows negative relationships of ML with all of the three others.
Only ML's slope is negative and that's why ML has negative relationships with others. In February, ML was strong (i.e. the highest among the three months) but suddenly fallen down in March as the outbreak diffused rapidly all around the globe.
Let's just pray.
Please help and allow us to survive and overcome this crisis, god, if there's any. Allow us to get back to ML.
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