The remarkable story of #TataElxsi

Chart shows a 23 yr journey
First 15 yrs range bound
Then 13x in the next 2.5 yrs
Then range bound for 5 yrs
Then 10x+ in next 2 yrs

You just have to catch some parts of these trends.
Disc: We hold in our @smallcaseHQ
https://t.co/3lARUwLkSb

This post is pretty bizarre, but it manages to hit on so many false beliefs that I've seen hurt junior data scientists that it deserves some explicit

(1) The notion that R is well-suited to "building web applications" seems totally out of left field. I don't feel like most R loyalists think this is a good idea, but it's worth calling out that no normal company will be glad you wrote your entire web app in R.

(2) It is true that Python had some issues historically with the 2-to-3 transition, but it's not such a big deal these days. On the flip side, I have found interesting R code that doesn't run in modern R interpreters because of changes in core operations (e.g. assignment syntax).

(3) "Most of the time we only need a latest, working interpreter with the latest packages to run the code" -- this is where things get real and reveal some things that hurt data scientists. If this sentence is true, it's likely because you don't share code with coworkers.

(3) Really is a broader issue in data science: people only think of what they need to do their work if no one else existed and code was never maintained. Junior data scientists almost always operate on projects they start from scratch and don't have to maintain for long.

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.

Stambheshwar Mahadev Temple, Kavi Kamboi, Bharuch, Gujarat

Stambheshwar Mahadev is a Hindu Temple dedicated to Bhagwan Shiva, located in Kavi Kamboi in Bharuch District District of Gujarat, India. The Temple is about 150 years old. 1/n

The Temple is also known as the Submerging temple. The Temple is flanked by the Arabian Sea on one side and the Bay of Cambay on the other side.

As per legend, Tarakasura troubled the common people, sages and devas a lot. 2/n

Hence, Bhagwan Kartikeya k!lled him, but later he felt guilty for killing a demon who was a great devotee of Shiva. He went to Prabhu Vishnu and told about his guilty. Bhagwan Vishnu advised him to install a Shiva Linga to get relief from the sin. 3/n

As advised, he installed the Shiva Linga in this place and prayed to Bhagwan Shiva to forgive his sin.
The temple is located in Kavi Kamboi between the shores of Bay of Cambay and the Arabian Sea. This Temple is very simple temple in terms of architecture. 4/n

Every day, during the high tide hours, the temple submerges, and when the tide level becomes normal, the temple reappears again. The Temple houses a 4 feet high Shiva lingam. The Lingam can be seen during low tide. The visit to the temple should be planned in such a way that..5/n

Butt plugs were originally sold as a miracle cure for headaches, acne, and insanity

Thread, article here and h/t: @qikipedia :
https://t.co/Ts84xnmWKJ

For a long time, medicine was pre-occupied with the question "can this be solved by putting something in the butt?"

Take, for example, tobacco smoke enemas, in which 18th Century physicians saw drowning victims and attempted to de-deadify them by blowing tobacco smoke up their rectums with a pipe.

Despite having no medical benefit whatsoever, the practice was popular, and enema kits lined the Thames like lifebelts, ready to be used as one final humiliation for somebody who was crap at swimming.

This practice ended sometime after 1800 when it became apparent that it didn't really work, given how the anus famously isn't really connected to the lungs, but doctors weren't quite finished with having a poke around in the old anus to see what happens just yet.