Home work done ...
List ready...
waiting for opening 🔔
(Have a few in my fav 3ib + NR 5/7 setups)
Lets c what the markets have to say

Sharing one incident... After Modi's Trichy youth conference, the very next morning when police were clearing up their mini-control room, they found 5 strange boys who were roaming there with bags. When police enquired them "Sir, we are from Subramaniapuram in Trichy.

Whatever political meeting or conference is held in this ground, we come here on the same night or morning hours to collect the Liquor bottles to sell in the scrap shop for 50 paisa to 1 rupee per bottle and we used to earn Rs 200 to Rs 400 on each such event.

Even in the last DMK meeting the very next day we collected around 1500 bottles. But for Modi's BJP meeting, we could not find even a single bottle in the whole ground. We are coming around and around and not a single bottle in any corner of the G Corner ground in Trichy,

we are much disappointed, sir!". Police seem were stunned and pleasantly surprised. This is what Modi magic does in this nation. Modi is the one who can lead our nation and make everyone prosper with hardwork in right direction and proper approach.

This funny but interesting anecdote was published by a statewide local daily Dinamalar. I have just translated and posting it here for rest of the nation;

I've spoken to 1,500+ people about remote work in the last 9 months

A few predictions of what is likely to emerge before 2030

[ a thread ] 💻🏠🌍

🚜 Rural Living: World-class people will move to smaller cities, have a lower cost of living & higher quality of life

These regions must innovate quickly to attract that wealth. Better schools, faster internet connections are a must

⏰Asynchronous Work: Offices are instantaneous gratification distraction factories where synchronous work makes it impossible to get stuff done

Tools that enable asynchronous work are the most important thing globally remote teams need. A lot of startups will try to tackle this

⚽️Hobbie Renaissance: Remote working will lead to a rise in people participating in hobbies and activities which link them to people in their local community

This will lead to deeper, more meaningful relationships which overcome societal issues of loneliness and issolation

🌍Diversity & Inclusion: The most diverse and inclusive teams in history will emerge rapidly

Companies who embrace it have a first-mover advantage to attract great talent globally. Companies who don't will lose their best people to their biggest competitors

Varahi Amman, Madurai, Tamilnadu

Vaarahi is one of the Saivite Shakti deities with the group of goddesses known as SAPTAMATAS.
They are: Brahmi, Maheshwari, Kaumari, Vaishnavi, Vaarahi, Mahendri and Chamundi. 1/n

They are the Shakti (female) equivalents of their male counterparts. Vaarahi is the Shakti of Bhairavar who is one of the Amsam of Bhairavar.Created from the boar avatara of Vishnu, Vaarahi is often associated with Goddess Kamala (one of the Mahavidyas). 2/n

She is also called Dandini (Lady Commander of the forces of the Mother-Goddess, symbolizing the might of SriVidya). As Vaarahi ("hog-faced" or "the great consumer") she destroys evil forces that obstructs the devotees' progress, paralyses the enemies 3/n

and led the devotees ultimately to SriVidyas. She is also called Panchami). With Kurukalla, she is accorded the parental status to Sri-Chakra (Lalita Tripura-Sundari). While Kurukalla represents the full moon, Vaarahi represents the new-moon. 4/4

Jai Maa Varahi 🙏

Tag for 📷 credit

In 1937, a trucker got frustrated waiting for his cargo to be unloaded. He later sold his company for $1.1 billion.

Here’s the story of how Malcom McLean made a billion dollars and which startup could be following in his footsteps. (Inspired by our episode with @laurabehrenswu)

In the early 1950s, the shipping industry was a dying business.

New York’s docks were handling half as much domestic cargo in the early 1950s as they had been in the depressed 1930s.

In thirty years, no one had invested significant money in coastal shipping.

Why?

As McLean found out, loading ships was difficult and slow.

A truck or train would deliver items to the port. Each item was unloaded separately, recorded, and carried to storage.

When a ship was ready, each item was taken from storage, counted again, and hauled on-board.

The cost of this labor was significant. As one expert at the time explained:

“A four-thousand-mile voyage for a shipment might consume 50 percent of its costs in covering just the two ten-mile movements through two ports.”

Yet, despite the industry’s issues, it felt little pressure to change.

Foreigners were barred from operating domestically. Cartels ran international routes. And gov. subsidies eased the pain of labor costs.

Reshaping the industry needed an outsider.

Enter Malcolm McLean.

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.