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🔥 Applied Deep Learning - 2021 🔥

Just came across this absolute gem.

200+ free video lectures on all sorts of topics related to deep learning.

From Graph Attention Networks to RL algorithms.

repo: https://t.co/2IRF3CcR5p

playlist: https://t.co/N4zqkqnfdu

More from elvis

elvis
elvis
@omarsar0
Recently, I shared a list of some courses that were useful in my transition to machine learning.

While I took most of the courses in person, there are some alternative online courses you can check out.

Here is a thread of a few interesting online courses based on the list:

⭐️ Linear Algebra ⭐️

A classical online course by Professor Gilbert Strang based on his popular textbook "Introduction to Linear Algebra". Learn about matrix theory and systems of

⭐️ Introduction to Complex Analysis ⭐️

Learn about the geometry of complex

⭐️ Differential Calculus ⭐️

Pay close attention to the chain rule as it's heavily referenced in machine learning, specifically when discussing optimization. This course is part of a specialization called MathTrackX. I recommend checking that as

⭐️ Information Theory ⭐️

When you are working with machine learning algorithms applied to data you are dealing with information processing which in essence relies on ideas from information theory such as entropy. This course should provide the
EDUCATION
elvis
elvis
@omarsar0
Python Data Science Handbook.

An excellent book for those seeking an introduction to data science and machine learning.

Chapters have been converted to publicly available Colab notebooks.

Covers:
- NumPy
- Pandas
- Matplotlib
- ML algorithms

https://t.co/KjBpsDhDDJ
ALL
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elvis
elvis
@omarsar0
Amazing resources to start learning MLOps, one of the most exciting areas in machine learning engineering:

↓

📘 Introducing MLOps

An excellent primer to MLOps and how to scale machine learning in the enterprise.

https://t.co/GCnbZZaQEI


🎓 Machine Learning Engineering for Production (MLOps) Specialization

A new specialization by https://t.co/mEjqoGrnTW on machine learning engineering for production (MLOPs).

https://t.co/MAaiRlRRE7


⚙️ MLOps Tooling Landscape

A great blog post by Chip Huyen summarizing all the latest technologies/tools used in MLOps.

https://t.co/hsDH8DVloH


🎓 MLOps Course by Goku Mohandas

A series of lessons teaching how to apply machine learning to build production-grade products.

https://t.co/RrV3GNNsLW
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elvis
elvis
@omarsar0
There is a lot of interest in large language models.

As a developer or researcher, you are probably looking for a guide on how to ramp up on LLMs.

Here is a study plan you could try:

My suggested study plan for now: 1) get familiar with concepts, 2) learn about Transformers, 3) learn about the foundation models, 4) continue keeping track of code, papers, and results, and 5) get building.

1) CS224N: Natural Language Processing with Deep Learning

It doesn't hurt to learn some of the concepts first. Depending on your level of knowledge it might be suitable to try a more basic

2) Stanford CS25 - Transformers United

Learn all about transformers in this fantastic

3) Foundation Models

You can learn about all types of foundation models like GPT-3, DINO, CLIP, Codex, among
ALL
elvis
elvis
@omarsar0
The past month I've been writing detailed notes for the first 15 lectures of Stanford's NLP with Deep Learning. Notes contain code, equations, practical tips, references, etc.

As I tidy the notes, I need to figure out how to best publish them. Here are the topics covered so far:


I know there are a lot of you interested in these from what I gathered 1 month ago. I want to make sure they are high quality before publishing, so I will spend some time working on that. Stay


Below is the course I've been auditing. My advice is you take it slow, there are some advanced concepts in the lectures. It took me 1 month (~3 hrs a day) to take rough notes for the first 15 lectures. Note that this is one semester of

I'm super excited about this project because my plan is to make the content more accessible so that a beginner can consume it more easily. It's tiring but I will keep at it because I know many of you will enjoy and find them useful. More announcements coming soon!

NLP is evolving so fast, so one idea with these notes is to create a live document that could be easily maintained by the community. Something like what we did before with NLP Overview: https://t.co/Y8Z1Svjn24

Let me know if you have any thoughts on this?
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More from All

Vibhu Vashisth \U0001f1ee\U0001f1f3
Vibhu Vashisth 🇮🇳...
@VIBHU_Tweet
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.
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Vibhu Vashisth
Vibhu Vashisth
@VIBHU_Tweet
ANCIENT BHARAT WAS CALLED VISHWAGURU, AND IT REALLY DESERVED IT.

India had a well developed education system centuries before the westerners arrived and called us uncivilized. Education was always given a great importance in Indian civilisation since times immemorial.


Ancient India had the Gurukulas and Ashramas as the epicentres of the knowledge and enlightenment. Bigger Gurukulas served as the centres of higher education called universities. Besides these universities, temples also emerged as the major learning centres.

Studying the Holy Scriptures, character building, personality development, responsibilities towards self,family and society,discipline and preservation of the ancient culture and heritage were the key embodiments of education.

This kind of education system made ancient India, a centre of knowledge all over the world. Many foreign students came to India for education and India was called the 'Vishwaguru'.
Takshshila and Nalanda were the two prominent universities of ancient India.


But were these only Universities of ancient India?The answer is 'No'.Let's learn about these gems of our education system that flourished across ancient India & be proud.

NALANDA UNIVERSITY
This was the oldest university of ancient India.Situated in Nalanda distt. of Bihar...
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The Chartians
The Chartians
@chartians
Took me 5 years to get the best Chartink scanners for Stock Market, but you’ll get it in 5 mminutes here ⏰

Do Share the above tweet 👆

These are going to be very simple yet effective pure price action based scanners, no fancy indicators nothing - hope you liked it.

https://t.co/JU0MJIbpRV

52 Week High
One of the classic scanners very you will get strong stocks to Bet on.

https://t.co/V69th0jwBr

Hourly Breakout
This scanner will give you short term bet breakouts like hourly or 2Hr breakout

Volume shocker
Volume spurt in a stock with massive X times
SCREENERS , ALL , CHARTLINK SCREENERS
professorstam.eth
professorstam.eth
@ProfessorStam
I worked in bank liquidity and treasury for the better part of the last decade, and there is one very interesting risk factor from the SVB collapse that I do not think we have ever witnessed before in modern finance, a 🧵:

First, some context. Following the 2008 financial crisis where a massive driver of stress was caused by low quality assets littering the balance sheets of massive institutions, the regulators sought to create a framework to ensure all banks were verifiably sound.

This meant forcing Federally registered banks to conform to capital and liquidity ratios. If they did not comply, they would not be allowed to issue dividends or buy back stocks, hurting the value of their enterprise.

There was the introduction of the concept of RWA, or risk weighted assets. A simple way to think of these ratios is, the riskier your asset base on a weighted basis, the more high quality capital (think cash) you would need to hold to stay in compliance.

Not only were banks required to regularly be in compliance with these ratios as a going concern, but needed to prove they could maintain certain limits when met with a time of stress across a number of incrementally adverse scenarios.
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Angela Jamison
Angela Jamison
@AnJamison
@FeistyLibLady @jamie_raskin @buzz\_chronicles @buzz\\\_chronicles @buzz_chronicles save as category @pdfmakerapp grab @pdfmakerapp grab this @readwiseio save @readwiseio save thread @threader compile summarize @Threadreaderapp unroll please @ttttreads unroll @unrollthread.com @SaveToBookmarks
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Patrick McKenzie
Patrick McKenzie
@patio11
A thing which I unironically and enthusiastically believe which is unpopular among smart people of my acquaintance: financial engineering has in the recent past and present contributed substantially to human welfare. We should hope to see more of it.

Maybe more geeks need to meet someone who says “My job is teleporting value across time and space.”

Financial engineering is sort of a squishy term. I don’t primarily mean payments infrastructure or financial rails, although both of those involve substantial engineering.

I mean more “We took a thing and performed some alchemy, and now have a new thing.”

Except instead of alchemy it is generally quite a bit of math, a huge amount of contract law and due diligence, often an impressive amount of ops work, and a dusting of technology that web devs would recognize as such.
ALL
SK
SK
@sk_diary1
#DoYouKnow -The place where
Lalitha Sahasranamam -1000 names of Devi originated.

It is in Lalithambigai temple -Thirumeeyachur,Near Mayiladuthurai,TN

There is a Legend #story & it is related to this beautiful #sculpture of Kshetrapuraneswarar & Ambal Lalithambigai #Thread 👇


#Legend #story
It is believed that this is birth place of Kashyapa Maharishi’s sons, Arunan& Garudan. Arunan(charioteer of Surya)was physically handicapped.He was a Shiva devotee.Arunan wanted to visit Kailash to have Shiva Darshan,but Surya Dev denied permission.

So Arunan disguised as a girl & was on his way to Kailash.On the way Surya Dev saw this girl & outraged her modesty.Shiva was very angry with Suryan for misbehaviour & cursed him to get darkened. Whole world plunged into darkness.Surya Dev pleaded to Bhagwan Shiv to forgive him.

Shiva Bhagwan asked him to go to Thirumiyachur & worship him there. As advised, Surya Dev performed rigorous penance, placed murthi of Shiva& Parvathy on an elephant & took them to the clouds.Shiva in this temple is known as Meganathaswamy,Devi is known as Lalithambigai


Even after severe penance,Shiva does appear,so Surya Dev cries out in agony.Disturbed by his call, Parvathy protests.Siva pacifies her & offers relief to Surya Dev.The sculpture of Shiva pacifying Ambal shows her sullen from one angle &smiling from another.
RELIGION
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sriram \U0001f1ee\U0001f1f3
sriram 🇮🇳...
@SriramKannan77
Saptapadi

The most essential rite (Sanskrit: rītī) of a Hindu marriage ceremony is Saptapadi (English: seven steps, saptapadī). Saptapadi is a Sanskrit term that means "seven steps." The wedded couple walks seven steps after tying the Mangalsutra, which is known as Saptapadi.


The couple legally becomes husband and wife after the seventh step.
Hindu wedding rituals: During Saath Phere, the bride and groom exchange their marital vows while circumambulating (walking around) the sacred fire seven times.


This is because the bride and groom exchange marriage vows and hope for a happy married life together.

1. The first marriage vow, out of seven, is a petition to the Lord for nutrition and nourishment for the Hindu bride and groom.


2. Hindu Bride and Groom: The second marriage promise is for strength in sickness, health, good times, and terrible times.

3. For the Hindu Bride and Groom - The third marriage promise is for the Hindu bride and groom's prosperity.

4. For Hindu Bride and Groom - The fourth pledge is to stand by their families in good times and bad.
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Mitesh Patel
Mitesh Patel
@Mitesh_Engr
Again sharing bank nifty intraday weekly straddle. How to play by selling straddle.
Mostly will work on Monday to Wednesday. Sometimes on Friday.
Why to pay your money to learn this if u can get it here.
U need only practice.
Let’s go.

Say bank nifty future is at 32000.
Sell both 32000 call and put.
Considering current volatile market lest say premium on Monday morning is 350 on both sides.
Sold with 700 points combine premium.
If bank nifty will trade in narrow range say +\- 100 hold it.
If moving 200 points

then exit previous sold straddle. Sell new one. Let’s say BN moved +200
Now sell 32200. If bank nifty will move here within range then u will get profit through theta decay. Follow same procedure for next 150-200 pts move.

This is only for single straddle sell position.

Now in second case sell three straddle. 31900/32000/32100
In case of 100 points move no need to change.
If 200 + then future is 32200.
Exit 31900 and sell 31200 straddle.
If moving another 100 then exit 32000 and sell 32300. Continue same with 100 points move.
If no move then

it will consolidate between 32000-32200 or 32100 to 32300 and u will get theta decay.

This is for normal move. Sudden big move may come anytime. So keep SL in system.
If u r selling at 350-350 then keep SL in system 475 for both legs.
Practice it. No need to attend webinar.
BNF , MPATELOPTIONSLEARNINGS , OPTIONSLEARNING
Patrick McKenzie
Patrick McKenzie
@patio11
So the cryptocurrency industry has basically two products, one which is relatively benign and doesn't have product market fit, and one which is malignant and does. The industry has a weird superposition of understanding this fact and (strategically?) not understanding it.


The benign product is sovereign programmable money, which is historically a niche interest of folks with a relatively clustered set of beliefs about the state, the literary merit of Snow Crash, and the utility of gold to the modern economy.

This product has narrow appeal and, accordingly, is worth about as much as everything else on a 486 sitting in someone's basement is worth.

The other product is investment scams, which have approximately the best product market fit of anything produced by humans. In no age, in no country, in no city, at no level of sophistication do people consistently say "Actually I would prefer not to get money for nothing."

This product needs the exchanges like they need oxygen, because the value of it is directly tied to having payment rails to move real currency into the ecosystem and some jurisdictional and regulatory legerdemain to stay one step ahead of the banhammer.
CRYPTO