Student papers are overlooked, easy to understand, and have good compute constraints.
Tips for AI writers:
1. Spend 30% of your effort on skimming all student ML papers (e.g. Stanford NLP CS224n) the past 3 years and prototype your favorites
The idea is everything. Pick an area you are interested in and ideally something that has a visual aspect to it
Student papers are overlooked, easy to understand, and have good compute constraints.
Create an edge to the project. Apply it to something new and use FastAI or Keras to improve the accuracy with 5-30%.
Have a north star article in terms of structure and quality. Find something that stretches you to your utmost capability. I used @copingbear’s Style transfer article: https://t.co/OrR1B94t1w
Invest a week in studying the strategies to rank on sites like HN and Reddit, then use them. If you have an interesting result and a great article, you've done the hard work.
Articles will market you 24/7 worldwide. You want them to be relevant for a decade. High-quality articles increase your reputation and spread easier on the web.
cc @remiconnesson @mehtadata_
More from Data science
1/ A ∞-wide NN of *any architecture* is a Gaussian process (GP) at init. The NN in fact evolves linearly in function space under SGD, so is a GP at *any time* during training. https://t.co/v1b6kndqCk With Tensor Programs, we can calculate this time-evolving GP w/o trainin any NN
2/ In this gif, narrow relu networks have high probability of initializing near the 0 function (because of relu) and getting stuck. This causes the function distribution to become multi-modal over time. However, for wide relu networks this is not an issue.
3/ This time-evolving GP depends on two kernels: the kernel describing the GP at init, and the kernel describing the linear evolution of this GP. The former is the NNGP kernel, and the latter is the Neural Tangent Kernel (NTK).
4/ Once we have these two kernels, we can derive the GP mean and covariance at any time t via straightforward linear algebra.
5/ So it remains to calculate the NNGP kernel and NT kernel for any given architecture. The first is described in https://t.co/cFWfNC5ALC and in this thread
2/ In this gif, narrow relu networks have high probability of initializing near the 0 function (because of relu) and getting stuck. This causes the function distribution to become multi-modal over time. However, for wide relu networks this is not an issue.
3/ This time-evolving GP depends on two kernels: the kernel describing the GP at init, and the kernel describing the linear evolution of this GP. The former is the NNGP kernel, and the latter is the Neural Tangent Kernel (NTK).
4/ Once we have these two kernels, we can derive the GP mean and covariance at any time t via straightforward linear algebra.
5/ So it remains to calculate the NNGP kernel and NT kernel for any given architecture. The first is described in https://t.co/cFWfNC5ALC and in this thread
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#sculpture #story -
Chandesha-Anugraha Murti - One of the Sculpture in Brihadeshwara Temple at Gangaikonda Cholapuram - built by Raja Rajendra Chola I
This Sculpture depicts Bhagwan Shiva along with Devi Paravathi blessing Chandeshwara - one of the 63 Nayanmars.
#Thread
Chandeshwara/Chandikeshwara is regarded as custodian of Shiva Temple's wealth&most of Shiva temples in South India has separate sannathi for him.
His bhakti for Bhagwan Shiva elevated him as one of foremost among Nayanmars.
He gave importance to Shiva Pooja&protection of cows.
There are series of paintings, illustrating the #story of Chandikeshwar in the premises of
Sri Sathiyagireeswarar #Temple at Seinganur,near Kumbakonam,TN
Chandikeshwara's birth name
is Vichara sarman.He was born in the village of Senganur on the banks of River Manni.
His Parent names were Yajnathatan and Pavithrai.
Vichara Sarman was a gifted child and he learnt Vedas and Agamas at a very young age.
He was very devout and would always think about Bhagwan Shiva.
One day he saw a cowherd man brutally assaulting a cow,Vichara Sarman could not tolerate this. He spoke to cowherd: ‘Do you not know that the cow is worshipful & divine? All gods & Devas reside in https://t.co/ElLcI5ppsK it is our duty to protect cows &we should not to harm them.
Chandesha-Anugraha Murti - One of the Sculpture in Brihadeshwara Temple at Gangaikonda Cholapuram - built by Raja Rajendra Chola I
This Sculpture depicts Bhagwan Shiva along with Devi Paravathi blessing Chandeshwara - one of the 63 Nayanmars.
#Thread
Chandeshwara/Chandikeshwara is regarded as custodian of Shiva Temple's wealth&most of Shiva temples in South India has separate sannathi for him.
His bhakti for Bhagwan Shiva elevated him as one of foremost among Nayanmars.
He gave importance to Shiva Pooja&protection of cows.
There are series of paintings, illustrating the #story of Chandikeshwar in the premises of
Sri Sathiyagireeswarar #Temple at Seinganur,near Kumbakonam,TN
Chandikeshwara's birth name
is Vichara sarman.He was born in the village of Senganur on the banks of River Manni.
His Parent names were Yajnathatan and Pavithrai.
Vichara Sarman was a gifted child and he learnt Vedas and Agamas at a very young age.
He was very devout and would always think about Bhagwan Shiva.
One day he saw a cowherd man brutally assaulting a cow,Vichara Sarman could not tolerate this. He spoke to cowherd: ‘Do you not know that the cow is worshipful & divine? All gods & Devas reside in https://t.co/ElLcI5ppsK it is our duty to protect cows &we should not to harm them.
H was always unseen in S2NL :)
Those who exited at 1500 needed money. They can always come back near 969. Those who exited at 230 also needed money. They can come back near 95.
Those who sold L @ 660 can always come back at 360. Those who sold S last week can be back @ 301
Those who exited at 1500 needed money. They can always come back near 969. Those who exited at 230 also needed money. They can come back near 95.
Those who sold L @ 660 can always come back at 360. Those who sold S last week can be back @ 301
Sir, Log yahan.. 13 days patience nhi rakh sakte aur aap 2013 ki baat kar rahe ho. Even Aap Ready made portfolio banakar bhi de do to bhi wo 1 month me hi EXIT kar denge \U0001f602
— BhavinKhengarSuratGujarat (@IntradayWithBRK) September 19, 2021
Neuland 2700 se 1500 & Sequent 330 to 230 kya huwa.. 99% retailers/investors twitter par charcha n EXIT\U0001f602
I'm going to do two history threads on Ethiopia, one on its ancient history, one on its modern story (1800 to today). 🇪🇹
I'll begin with the ancient history ... and it goes way back. Because modern humans - and before that, the ancestors of humans - almost certainly originated in Ethiopia. 🇪🇹 (sub-thread):
The first likely historical reference to Ethiopia is ancient Egyptian records of trade expeditions to the "Land of Punt" in search of gold, ebony, ivory, incense, and wild animals, starting in c 2500 BC 🇪🇹
Ethiopians themselves believe that the Queen of Sheba, who visited Israel's King Solomon in the Bible (c 950 BC), came from Ethiopia (not Yemen, as others believe). Here she is meeting Solomon in a stain-glassed window in Addis Ababa's Holy Trinity Church. 🇪🇹
References to the Queen of Sheba are everywhere in Ethiopia. The national airline's frequent flier miles are even called "ShebaMiles". 🇪🇹
I'll begin with the ancient history ... and it goes way back. Because modern humans - and before that, the ancestors of humans - almost certainly originated in Ethiopia. 🇪🇹 (sub-thread):
The famous \u201cLucy\u201d, an early ancestor of modern humans (Australopithecus) that lived 3.2 million years ago, and was discovered in 1974 in Ethiopia, displayed in the national museum in Addis Ababa \U0001f1ea\U0001f1f9 pic.twitter.com/N3oWqk1SW2
— Patrick Chovanec (@prchovanec) November 9, 2018
The first likely historical reference to Ethiopia is ancient Egyptian records of trade expeditions to the "Land of Punt" in search of gold, ebony, ivory, incense, and wild animals, starting in c 2500 BC 🇪🇹
Ethiopians themselves believe that the Queen of Sheba, who visited Israel's King Solomon in the Bible (c 950 BC), came from Ethiopia (not Yemen, as others believe). Here she is meeting Solomon in a stain-glassed window in Addis Ababa's Holy Trinity Church. 🇪🇹
References to the Queen of Sheba are everywhere in Ethiopia. The national airline's frequent flier miles are even called "ShebaMiles". 🇪🇹
These 10 threads will teach you more than reading 100 books
Five billionaires share their top lessons on startups, life and entrepreneurship (1/10)
10 competitive advantages that will trump talent (2/10)
Some harsh truths you probably don’t want to hear (3/10)
10 significant lies you’re told about the world (4/10)
Five billionaires share their top lessons on startups, life and entrepreneurship (1/10)
I interviewed 5 billionaires this week
— GREG ISENBERG (@gregisenberg) January 23, 2021
I asked them to share their lessons learned on startups, life and entrepreneurship:
Here's what they told me:
10 competitive advantages that will trump talent (2/10)
To outperform, you need serious competitive advantages.
— Sahil Bloom (@SahilBloom) March 20, 2021
But contrary to what you have been told, most of them don't require talent.
10 competitive advantages that you can start developing today:
Some harsh truths you probably don’t want to hear (3/10)
I\u2019ve gotten a lot of bad advice in my career and I see even more of it here on Twitter.
— Nick Huber (@sweatystartup) January 3, 2021
Time for a stiff drink and some truth you probably dont want to hear.
\U0001f447\U0001f447
10 significant lies you’re told about the world (4/10)
THREAD: 10 significant lies you're told about the world.
— Julian Shapiro (@Julian) January 9, 2021
On startups, writing, and your career:
