I'm currently doing Andrew Ng's course and wrote a short review of course 1 here [1]. If you have the mathematics and statistics background and want to go through that rigorously enough then it's exceptional. If you are not the mathematically inclined it is still accessible but I can imagine fast.ai being more appropriate, although I have no personal experience.

[1] https://dandermotj.github.io/post/review-deeplearning-ai-cou...

In the EU we have the incoming GDPR to legislate for (and penalise) data breaches like this. This directive is very clear and detailed on how data should be collected, securely stored and disposed of. US law is a decade behind the EU.

To be fair, the GDPR extends to any company that processes personal information from EU subjects. It is raising the bar for most US companies.

Googling LeNet, Reset, AlexNet or other well known architectures will provide you with links to the network weights.

I found keras provided pretrained networks such as VGG-16 that worked well.

I'm always a bit disappointed that yhat indiscriminately used 'ggplot' for the python package name. Using a variation on the name would have been more considerate.

This is definitely a scientific paper. Pretty much no scientific paper comes with source code and the majority of scientific papers are not reproducible without an entire university department of resources anyway.

...and this attitude causes quite a bit of them to not be reproducible even when people try with the same resources.

> Pretty much no scientific paper comes with source code

Are we blindly accepting this as science now ?

Yes? Sorry you've been out of the loop so long but science doesn't cater to your idealistic ideas of what it ought to be.

My main thing about source code and scientific papers is that it would just be so easy to release the source code along with the paper. Even if people don't reproduce work source code would often help to understand it as often I'm a little unclear on implementation details, which source code would be able to greatly clarify.

As an Irish and European person, I want you to know that your comment is misinformed and misleading. Global tax avoidance and evasion by multinationals has no relation to the formation of the EU, and the Irish government are at a gigantic economic loss (not advantage) as a result.

Breaking the spirit of the law, but not the letter.

In most courts, that is a crime. French courts tend to look primarily at the spirit of the law itself, rather than precedent and arguments over the letter of it to see how it should be enforced, unlike English style legal system where precedent and minor word choices can make or break the implementation of a law.

Its a very practical and approachable court system for the common person comparatively.

I like to think about it this way. By not explicitly imposing a prior, you are implicitly imposing a prior that each item will receive no votes. This is totally non sensical because of course these items will get votes.

Just because we don't know what the true value of p will be doesn't mean we don't have some expectation. If I asked you what you expect the popularity of a given item will be, you won't say 0, you'll say something like the average. So why assume all items will have 0 votes in our model?

Consumption through spending is economically beneficial to everyone. You misunderstand what 'trickle down economics' is.

And pushing people to ever more overuse of resources can't go wrong because we have an infinite supply of all resources, it can't fail. /s

>Consumption through spending is economically beneficial to everyone.

What about the externalities of destruction of the environment due to consumption?

Only if gov't didn't apply environmental regulations when they should've.

Say hello to the military-industrial complex

We just have to have some aliens threaten to invade our planet to goose the economy. It'll be great for everyone!

Clickbait, but great results all the same