Subscribe to DSC Newsletter

Answers to "10 questions about big data and data science" from Japan

10 questions about big data and data science

raised by Dr. Vincent Granville are very interesting I feel. 

I have to say I'm never any leader of big data or data science in Japan -- but I'm afraid nobody will answer. So as a personal opinion, I wrote answers as a blog post.

A1: Only big-companies should do, in-house, with various data experts, in Japan

A2: As huge as no desktop machines can handle directly

A3: Just I required any job on which my data science skills work, after my postdoc career

A4: The difference depends on their origin in each academic field, and any hybrid role would be welcome especially in Japan

A5: A broad range but in entry-level of academic skills in statistics, machine learning and data mining, with much skills in data engineering

A6: This question is nonsense here, because almost no university professors agree it in Japan

A7: Although I'm not sure with considering the situation in Japan, a win-win relationship between labs and companies as labs get funding from companies and companies get intern students as good part-time analysts from labs, will encourage it

A8: Distributed machine learning or multivariate statistics, such as Jubatus or Hivemall by Japanese developers, although they just work on a Hadoop eco-system

A9: In my opinion, it must make sense: but there may be still a lot of problem

A10: 5 choices for both are too many, I think

Views: 970


You need to be a member of AnalyticBridge to add comments!

Join AnalyticBridge

On Data Science Central

© 2021   TechTarget, Inc.   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service