Quite you say? I’ll give you quite. I don’t do cheesy music. When I’m pounding the sand burning off the tequila and the virus I’m listening to Mr Motivator by IDLES...here’s what I hear

❤✈️🌎 2 years ago today @JamesIvings and I sold all our belongings and left the UK to travel for a year. We've never been happier and we have no plans to ever return there 🙂

Thread 👇

Since then we've started a remote web dev company @SquarecatWebDev and been lucky enough to have completed several freelance projects 💻 that have kept us on the road.

In the last few months we've become a huge part of this amazing new Maker community and have found so many new friends from @makerskitchen, @women_make_ and several others! 🥰

We love travelling together (even if I'm only a glorified laptop watcher 😒) but we're both much happier being able to share our ideas outside of our own little bubble and our products have benefitted too!

Here's to another year of nomading with my favourite person and to the Maker community continuing to grow with our help! Maybe one day we'll all get to meet each other ✌️ 💛

HELLO: If you pee and every time you finish, your urine looks like this picture, you may have a serious medical illness.

Foamy urine especially if it is persistent and noticeable over time may mean you have a serious kidney problem.

Let’s talk about this today...
RT for others.

What are the features of a normal urine?

A normal urine should have a light yellow colour, painless, odourless (or faint smell), steady stream and should ideally not foam when you pee.

When there’s something wrong, then you see changes in all the above normal features of urine.

For instance if urine becomes very deep yellow, it may mean you are dehydrated;

If urine becomes painful or smells really really bad, it may mean you have an infection;

If urine has a poor stream, especially in a man, it may mean a prostate problem like cancer.

Do you get me?

So today let’s talk about Foamy Urine.

What are the things that can cause urine to suddenly be foamy. As I said in the first tweet, it MAY mean a serious medical illness like a serious kidney problem.

First things first- it does NOT always mean a problem but it may as well.

Now what are the causes of Foamy Urine:

1. SPEED-
If you pee really fast or with a lot of force, it may make your urine more foamy than usual. The speed and force makes the urine generate a lot of bubbles which tend to almost quickly disappear as it is formed in the toilet bowl.

Demystifying Ghazwa-e-Hind. A #thread.

A recent video of Shoaid Akhter surfaced in social media creating a lot of controversy where the #Pakistani Cricketer can be seen suggesting invasion of India by using the term Ghazwa-e-Hind.
Radicalization of sportsmen seen off late
(1/10)

Some radical Islamic preachers believes that Ghazwa-e-Hind means a “Holy War against India”. As per this irrational & profane concept, there will be a fierce battle to secure victory over #India.
#Kashmir
(2/10)

#Pakistan-based terror groups, like JeM have been using Ghazwa-e-Hind as a Hadith to recruit, fund and justify its terror strikes as a religious holy war against #India.
#Kashmir
(3/10)

Some machiavellian people claim it is a prophecy that Muslim warriors will wage war against the #India.
Jaish & others falsely propagate that Jihad against India is considered holy in Islam & that those participating in it will be granted an easy entry into paradise.
(4/10)

However prolific scholars says that this is a made-up interpretation of some verse in The Holy Quran to mislead the gullible youth of #Pakistan into picking up arms and fighting its Army's personal battle against #India.
#Kashmir
(5/10)

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.