HOW TO COME TO AUSTRALIA (WA) AS A STUDENT

Unfortunately, you can not come as a student to study most trade occupations as they are offered as apprenticeships and heavily subsidised for locals. Only if you want to be a Light vehicle mechanic.

Did you know?

Rani Bhabani was the Queen of Natore, Bengal or 'Natorer Rani' as she was famously called. She made great contributions in Tarapith & renovated Benaras.

In Varanasi, Durga Kund Mandir was constructed by Rani Bhabani in the 18th century.

Born in Chhatimgram village, Bogra District,Her father's name was Atmaram Choudhury.Bhabani was married off to Raja Ramkanta Moitra,the then zamindar of Rajshahi.After his death, Bhabani became the zamindar, and started being referred to as Rani.She was known as Ardhabangeshwari.

A woman as a zamindar was extremely rare in those days, but Rani Bhabani managed the vast Rajshahi zamindari most efficiently and effectively for over four decades.
Maharani Bhavani was very pious in her personal life. She passed her life in a strict disciplined way.

She conducted the administrative work skillfully. As a Maharani she was an impartial judge. Rani Bhavani had a very hard time during the fag end of her life. The Zamindari (estate) incurred serious loss due to the change of the revenue policy of the company.

In spite of being the owner of a large Zamindari (estate), she had to depend on the stipend of the government in the later part of her life. The amount of this stipend gradually decreased and became Rs. 1000/- only in the end.

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.

In Academia, people aren’t always supported when they need it. I want to share what @WesternU did when my husband died right after the pandemic shutdown. It should be shared with other uni’s as a model for empathy and proactive care when someone is in crisis.
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#AcademicChatter

Strange things are afoot at the Circle K. Let’s sort it out.

[THREAD]

1/ Two nights ago, Rupert Murdoch called on Mitch McConnell, after hours. Since then, two Fox News-related Twitter accounts have not tweeted.

2/ Trump fired Sessions on Wednesday, replacing him with human dildo/Putin collaborator Matt Whitaker. Sessions had asked to stay until Friday and was told to leave immediately. So there was clearly some urgency to install the dildo...er, puppet.

3/ The Democrats won the SHIT out of the Midterms. Come January, the House check on Trump will leave him so hobbled, he’ll be like the dude from Misery.

4/ Trump went to Paris, ostensibly for an Armistice Day centennial event. He skipped the event, and much of the dinner tonight, because of “weather,” which everyone seems to agree is a bullshit excuse.

THE SCIENCE BEHIND YAJNA

Fire is, of course, one of the greatest discovery of mankind. Our control over the fire dramatically changed the entire human habits; earlier it was used to cook food, protection from animals and to stay warm.

Among the many applications of fire, one is Yajna (यज्ञ, yajña); also called as Havana (हवन) or Agnihotra (अग्निहोत्र).
Yajna is elaborately described in Yajurveda. In Yajurveda, Yajna is the greatest among all works (Karman). One can purify his /her soul by performing Yajna.

In Vedic culture, it is thought that the holy fire is the mediator between Gods and us; when the offerings are made to Yajna with chanting mantras, it directly reaches the Gods, who bless the people with rains, food, health, and good luck.

According to Apastamba Sutra, the definition of Yajna is Vedic sacrifice; an act by which we surrender something for gods e.g. grains (Anna), pulse, milk and milk product (ghee, butter, curd) fruits, plant juice (soma), etc.

As we said; Yajna is the contact medium for gods and

to seek their blessings.

There are many types of Yajna performed by Hindus for e.g.,

1. Rajsuya Yajna
2. Ashwamedha Yajna
3. Chaaturmasya Yajna
4. Vaajpey Yajna
5. Purushmedha Yajna
6. Sarvamedha Yajna