Nifty 50 market-cap weight index - the market decides how much you are #investing in each stock - like HDFC bank -10%, RIL 10%, Adani 0.7%

N50 Equal wt - 2% invested equally in all stocks.
Eq wt gives more weightgae to bottom stocks too.

Better returns due to higher risk.

(THREAD) The Whitaker scandal is deepening, as it becomes clear that Sessions' Russia recusal was a coordinated sham and his firing an act of obstruction—and that his replacement is a White House plant inside the Mueller probe. I hope you'll retweet and read on for more details.

1/ From 2014-17 Whitaker worked for World Patent Marketing—which during his tenure defrauded consumers out of $26 million and was successfully prosecuted by the feds. His involvement in the scam confirmed he had loose morals and that the feds would never want to employ him again.

2/ Despite the seeming impossibility of a man with Whitaker's background getting a job at Justice ever again—he'd been found to have used his former title as a US attorney to fraudulently threaten consumers with valid complaints with criminal penalties—Whitaker found an opening.

3/ Within 60 days of parachuting out of World Patent Marketing as it was being fined $26 million by the feds, Whitaker was working for CNN and telling a fellow attorney panelist that his purpose in working for CNN was to get noticed by one man—Donald Trump—and thereby get a job.

4/ Whitaker spent his time at CNN making ludicrous statements about the Mueller probe: there was no obstruction or collusion, he said; Mueller had no authority to look into any aspect of Trump's finances or to subpoena him, he said. All the while, he hoped Trump was watching him.

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.

Today is Jayanti of Ahilyabai Holkar

She was a widow who became Malwa's greatest queen. Defended our country & personally led armies into battle.Never plundered anyone. Developed Malwa into a prosperous kingdom. Rebuilt temples destroyed by Mughals. Built Dharmashalas at Tirthas

Unfortunately, her memory has been blemished by inaccurate representations in modern popular media.

The serial "Punyashlok Ahilyabai" depicts her as ultra secularist feminazi icon who questions Hindu rituals & Pandits while patronising Sufis.

This is far from historical truth!

Ahilyabai was born on May 31 1725 to Patil Mankoji Shinde.

She was from Dhangar clan(classified as OBC today). While Dhangars were traditionally into herding, they took up arms & held several military /civil roles in various eras of history(especially during Maratha resurgence)

In 1737, when she was 12, Ahilyabai Holkar was married to Khanderao , son of Subedar Malhar Rao Holkar.

By the time she was married, fortunes of Holkar family had already waxed.

Malhar Rao was a Subedar of territory comprising 30 Parganas yielding a revenue of at least 7 Lakh

In 1741, when Ahilyabai was newly married, her father -in-law Malhar Rao Built Indore palace & ordered the kanungo to populate the settlement with a promise of protection to traders.

This began rise of Indore from its background as modest trading town Indrapuri to a great city