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All I see from this article and the whole saga is pure sadness. The situation seems unfortunate but seemingly unavoidable.

Deep learning based systems are at least trustable as working animals I think... They share a lot of similarities. You can not know how it thinks, but you can train them, observe them, and then trust them to a certain level.

No they definitely don't pre-suppose so. They run ads for main revenue, and just think about what is the definition of ads.

I tried to complete all of them in Spreadsheet, so far only Day 5 is quite tough and Google Sheet could not handle it.. https://twitter.com/chenyuio/status/1467750483494273025 (Day6- in separate sheet to avoid spoilers)

I am quite interested in the difference between people's intuition about things. The more complex a system is, the less I tend to think about it being designed.. It is just too beautiful to be a crafted artifact.

This is rather a math-specific operation (type conversion on math operators), not the scope of general purpose language. A lot of dependent typed language can achieve this naturally and most languages with ADT can simulate this.

A commercial project aims for profit, not public service. The previous post explains why they are popular demands. And it is natural for commercial project to satisfy popular demands.

In Python people are encouraged to follow styles for code as a communication tool between developers. If you just really want your code to "look nice" you can have things like this:

  def begin(*args):
    return args[-1]

  begin(
      func := lambda x, y: begin(
          z := int(input()),
          x + y + z
      ),
      func(1, 2)
  )

from `https://news.ycombinator.com/item?id=23346534`

This is also a nice recent attempt on utilizing Python ecosystem and FP features of Haskell(Purescript):https://github.com/purescript-python/purescript-python/blob/...

I was thinking of the exact same thing when writing my new project in Python, and implemented a poor-man's version using typing.NamedTuple. But my idea was mainly from the extensive records from Elm. Although Elm also have Maybe, but the idioms of "making impossible things unrepresentative" eliminates a lot of unwanted usage.

Bit of advice to you: I know you what to share your thoughts on this particular package. But this kind of post just looks like an ad and insincere.

(edit) PS: Make sure it is to scale when you enlarge images.

But the error message though...

That's the right bottom part of the Bayes' rule?

Dislike is not usually the best measurement.

Next time try this kind of voting questions:

I use systemd and like it

I use upstart and like it

I use launchd and like it

I use traditional init daemon and and like it

30% of like should be quite impressive

Hi Douglas, I just finished my college and quite interested in RNNs and fascinated by their capability and potential. Should I go to graduate school to study it or I can play with it as a hobby. Do you have any suggestions?

Is it for SEO?

Just look at the SAT maths scores of different races. IMHO that the high scores of Asian students was due to the Asian cultures which promotes hard work.

It depends, Beta(3,3) is also bell-shaped.

Yes. Now I regret I upgraded my Ubuntu to 15.04 Since there is no support for cuda from NVIDIA, so is the Intel graphic driver. If you are using an OS without third party applications, I think it should be fine, but that is not the most case.

Other people have given very good suggestions. But just mention that there is not any first principles for mathematics, that is an active area for research for pure math.

There are a lot of layers of mathematics, the deeper you get, the more difficult it becomes. But for normal applications (like antenna design, machine learning, electromagnetism, cryptography etc), you don't need to get to the deepest level, which are mostly proofs for a formulation of the whole mathematics framework.

Unlocked.. Wasn't expecting more levels after 45 though.. Will there be infinite levels?

I am from China and I can't agree more. The mass-examination system seems to promote equality, yet the ignorance of individual differences led to the failure of discovering specialized talents, who are potential leaders and innovators of the future.

Bertrand Russell already pointed this problem 90 years ago(http://www.gutenberg.org/ebooks/13940), but the problem still remains till now.

And you really cannot tell if the people there are less happy than people live in the US.

People now have much higher living condition the people in the past (say 18 century), but you really can't tell if you are happier than them.

Please.. Do the same for machine learning and statistics...