A lot of people asking me about books, here the names of some books may be useful for you..

Sri Maha Bhairavar Rudhra alayam, Chengalpet, Tamilnadu

This temple is being constructed merely on the instructions from Bhairava by his devotee Shri Bhairava Siddhantham Swamy. The Temple is fully enshrinedin a transparent glass enclosure..1/n

with Rudrakshas on both the sides of the entrance This temple has a circular Sanctum Sanctorum which has twelve stepseach representing a sign of zodiac and after that twelve steps we find the supreme deity of this temple Sri Kshetra Paata Bhairava. 2/n

Beneath the Bhairava, in the lower level are installed the Ashta Bhairavas, SapthaRishis in the form of stones, and Saptha Kannis in the form of brass lamps. Thereare a number of little blue and white lights in the ceiling that is shaped like a dome.. 3/n

which give an ethereal atmosphere when switched on. The steps representthe twelve signs of the zodiac and when one steps over them to reach thesanctum sanctorum all the doshas pertaining to the horoscope are cleared onceand for all..4/n

The Sthala Vriksham ”Peepal Tree” which is grown on a pedestal, a trident which is considered as Bhairavi, Pancha Mukha Anjaneya, Prathyankara Devi, Subramanya, Rudra Vinayaga, Vaishnavi Devi, Naga Rudra, Eswara, Vana Durga etc. 5/5

#IncredibleBharat
#DekhoApnaDesh

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.

The Haas / Force India argument is fascinating, and the decision of the stewards may still have consequences. The first key finding is that the stewards ruled Racing Point Force India to be a valid constructor. That means that it builds its own cars.

Haas had argued that the cars had been designed by Force India, but as Haas knows only too well, "outsourcing" is legal. The stewards decided that "there is no regulatory support for the argument that Outsourcing of Listed Parts cannot come from a former or excluded team."

In determining this, the stewards also came to the following conclusion: "In relation to the submission by the Racing Point Force India F1 Team that it is not a new team, the Stewards decide that the Racing Point Force India F1 Team is indeed a new team."

This will have a big knock on effect for Haas in its continued arguments over the rights of RPFI as relates to its eligibility and rights under the complex payments structure. Haas has argued all along that RPFI should be treated as a new team and tread the same path that it did.

TLDR? Haas lost the fight but may have won the war. In having its argument that Racing Point hadn't designed their own car thrown out, they gained clarification that RPFI was a new team.

The last Hindu king of Pakistan.

The name Amarkot is known to all in our subcontinent as the birthplace of Emperor Akbar. When Humayun was fleeing from Sher Shah, Rana Prasad of Amarkot sheltered him and this is where Emperor Akbar was born.

#Thread
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@talesofBharat

They have always maintained friendly relations with the rulers. The Mughal court and the Rana of Amarkot had special respect because Emperor Akbar was born in the shelter of Amarkot Raj. They did not even have to attend court regularly.

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Dara Shikohar provided Rana supplies to Amarkot during his expedition to Kandahar.
But another reason why the name of this Amarkot is inextricably linked with the history of the subcontinent is the partition of the country.
Sodha is the family name of the Maharajas of..

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Amarkot,They were originally known as Sodha Rajputs. Despite possessing a very small kingdom, he was far ahead in terms of wealth and honor. During the British rule, Rana Ratan Singh led the anti-British movement in Sindh. In 1753, the British occupied the state of Amarkot,
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which was his and his ancestral home, and hanged Rana Ratan Singh on a high platform on the walls of Amarkot fort. It hangs in front for a few days. Even today, a folk song called "Mor tor tilaya rana" is very popular in Sindhi language.
After the capture of the fort by the
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Maker movement is doing to startups what startups did to corporations.

Here is why 👇

Startups fixed the problem of innovation, that corporations lack.

In big, slow corporations, innovation is a RISK and distraction from the core $$$ profitable business.

Agile startups could launch, iterate fast and eventually stumble upon new growing market opportunities.

However,

When a startup reaches product-market-fit, it has to 🚀 "grow at all costs" and reach market dominance before some giant corporation can replicate their new product and distribute it to their existing giant customer base.

Startup's "growth at all costs" often means growth at the expense of charging customers $$$ money.

Hence, to be sustainable, startups have to constantly chase investor money.

Startup teams spend more time finding and pleasing investors, than finding and pleasing customers.

95% of startups die because they run out of (investor) money + no business model + crazy investor expectations.

Same way corporations die, when unable to adjust to new technology and market shifts.