Recent submissions

Comment · 9 years ago
If you think job offers are written in such a dumb way that netgear could be regarded as an ISP then I would agree with you. What evidence do you have of this?
Comment · 9 years ago
Comment · 10 years ago
I don't have the data. I use indeed.com trend queries. All we can do is to select which keywords to use.
Comment · 10 years ago
I think you are spot on.
Comment · 10 years ago
Comment · 10 years ago
Agreed. I welcome suggestions on how to distinguish both using keywords in job offers.
Comment · 10 years ago
Comment · 10 years ago
Not sure where you get this from. The most popular machine learning framework, scikit-learn, runs fine in 3.5. I am also using xgboost with Python 3.5 (yes, xgboost is a major open source for machine learning, just look at what framework is used by most Kaggle competition winners). TensorFlow, mxnet also support 3.5. I would have agreed with you a year ago, but there has been a major shift in use from 2.7 to 3.5 in 2016.

edited for typo.

Comment · 10 years ago
I didn't include it indeed, but you can try yourself. Just modify the query of my article (look for pointers).
Comment · 10 years ago
You're absolutely right, and the data doesn't allow to split between api vs core implementation.
Comment · 10 years ago
Several prominent open sources are written primarily in C++. TensorFlow is a good example.
Comment · 10 years ago
Lua isn't missed, read the article again. it is just that it just that Lua appears in exactly 0% of the job offers on indeed.com.
Comment · 10 years ago
I fully agree on using search correlations. Fortunately, this is not the case here. This is not about any search. This is about actual keywords occurring in actual job offers. I thought I explained it clearly, sorry if you missed it.

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