#DEEPAKNITRITE Update
2150 📍

On weekly log scale; The trend remains intact towards the upside. Next up would be 2340.

[As mentioned; this can be in one's long term portfolio, Targets would keep on becoming elongated.]

#StockMarket #StocksInFocus #investing https://t.co/HJH5XwMRf5

A lot of people don't understand that Trump & his incoming team didn't face a normal transition period, like it was over a in a matter of a few weeks or months.

The DOJ transition period JUST ENDED when Sessions left. Almost 2 exact years to get it there.

Pompeo at the CIA took over a year before he was done and ready to shift over to the State Department.

All kinds of stuff has been going on behind the scenes nobody leaks or talks about.

We only had the barest mention of the fact the Clinton Email investigation restarted

Nobody leaked in a year that Huber was deep diving into the Clinton Foundation.
Keep that in mind as all the usual suspects continue to INSIST nothing is happening/going to happen.

👇Thread.

Published a new essay: The red flags and magic numbers that investors look for in your startup’s metrics – 80 slide deck included!

This was a deck that I created on my (longish) interview process with @a16z. It was a long path, starting with meeting folks at the firm 10 years ago. But the purpose of the deck was to explain how I would use my superpower in an investing context

Here's what I explain in the deck. As investors (whether angel or VC) we're often confronted with an up-and-to-the-right graph. Is it going to go up? Or down?

One solution to forecast these growth curves is the Growth Accounting Framework, where you add up New+Reactivated and subtract churned users. In each time period that gives you the difference in monthly actives.

The problem with this is that it's a lagging metric, not a leading one. We need to go one level deeper and look at the underlying loops that drive these numbers, to understand the quality.

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.

RANI GAIDINLIU:THE LESSER KNOWN FREEDOM FIGHTER

Rani Gaidinliu joined the freedom struggle at 13 &was sentenced to life imprisonment at 16."We r free people—the White should not rule over us.”Thus calling out to her Zeliangrong tribesmen was the voice of 13yr-old Rani Gaidinliu.

She joined the freedom struggle in the present-day Northeast India. Today, her struggle is lost in history as most of her countrymen wouldn’t even have heard her name. B'coz our history textbooks tell us that only Mahatma Gandhi &Pandit Nehru got India its Independence.

At 16 yrs of age, this valiant girl was sentenced to life imprisonment for leading a movement to drive out the colonial rulers from Manipur and Nagaland. Nevertheless, she was released in 1947 after India’s independence and was given the title ,"Rani of Nagas".

EARLY LIFE AND HERAKA MOVEMENT

Gaidinliu belonged to the Rongmei clan of the Zeliangrong tribe in the Tamenglong district of western Manipur. Born on January 26, 1915, she was fifth among eight children.

Her native village was Nungkao, which is present day Tamenglong distt. Brought up in a specially backward region,she couldn't receive any formal education. However,this didn't stop her from joining the freedom struggle. At the age of 10 she came under the influence of her cousin.