BC MACHINE LEARNING
Saved by @Alex1Powell

The "polarization is the problem" narrative to me is bad because it implies the status quo was a stable and acceptable set of trade-offs. It's the equivalent of a pollyanna "why can't we all get along" but the we in question is white supremacy and its targets.

 like i understand that conflict mediation requires mutual concessions (i did my MA in conflict studies) and while it's important to meet people's deep needs across spectrums of difference, certain things are just not up for negotiation.
Also while peacebuilding work is good. It's not just "seeing each other as human" it's literally about transforming structural issues. (hence Galtung's distinction between positive and negative peace wherin negative peace is like a ceasefire and positive is a transformed society.
And I think that to whatever extent that kind of peacebuilding work is applicable, it's not between fascists and people who think fascists are bad. Fascists are not invited. They are only invited if they seize territories and can't be crushed. Then secret negotiations.
The US is always like "we don't negotiate with terrorists" but literally every president negotiates with who they consider to be terrorists. It's all just down low. But that's just because counter-insurgency failed.
So even from the conservative imperial perspective of the US gov you don't have to normalize terror cells as 'equal participants in an inequality of needs'. And i obv think our perspective should be uhhhh, a lot more advanced than that of US military.
So maybe this means i'm digging my heels into bunkers and supporting polarization but, there are a lot of possible paths and most of them suck, but none of them should involve the normalization of actual fascism as distinct from like meeting the needs of rural USians etc.
Also to state the obvious, the contradictions of the status-quo were only considered quiet before to those who didn't have a boot on their neck. Everyone else already knew it wasn't stable and led to whatever """"polarization"""" currently exists.
But when you look at it like that the idea comes a little more clear. 'Polarization' in this case is often running cover for the normalization of reaction against basic calls for removing the boot from ones face.
Oh and you may also be interested in a kind of dark but useful concept in peacebuilding called "ripeness theory" which basically states if either side has any hope for winning the cycle of violence will continue. Mediation only works when a conflict is "ripe" -very deep into loss
Maybe I'm beating around the bush. In short, I think antifascism is good and fascism is bad. Maybe that makes me part of the problem / a wrecker / unenlightened. *shrug* I don't care.
Galtung (who I always forget is on twitter) added to my thread that Ripeness theory is too cynical which I think is fair.

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Roger Grosse
Roger Grosse
@RogerGrosse
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.
MACHINE LEARNING
Jan Giacomelli
Jan Giacomelli
@jangiacomelli
🤔 Python decorators

What are they? How do you use them?

🧵 Let's find out 👇

1️⃣ Decorator is a function or a class that wraps another function or class modifying its behavior.

So how does that work?

The first thing to know is that everything in Python is an object - functions too


2️⃣ That means they can be passed to another function as an argument or returned from a function

Functions that take other functions as an argument are called higher-order functions


3️⃣ In Python, you can define a function inside other function - such functions are called inner functions


4️⃣ To create a decorator you just need to apply all of that together

log_enter_leave is a decorator.

my_function is the function.

To alter my_function's behavior we reassign it applying log_enter_leave decorator.
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Prashant \U0001f4da
Prashant 📚
@capeandcode
Ever heard of Autoencoders?

The first time I saw a Neural Network with more output neurons than in the hidden layers, I couldn't figure how it would work?!

#DeepLearning #MachineLearning
Here's a little something about them: 🧵👇


Autoencoders are unsupervised neural networks whose architecture you can picture as two funnels connect from the narrow ends.

These networks are primary focus for compression tasks of data in Machine Learning.

We feed them the data so that they can learn the most important features, a smaller representation while keep the integrity of the data.

Later when someone needs, can just take that small representation and recreate the original, just like a zip file.📥

Being unsupervised, they require no labels.
Our inputs and outputs are same and a simple euclidean distance can be used as a loss function for measuring the reconstruction.

Of course, we wouldn't expect a perfect reconstruction.

We can think of an autoencoder having two components, encoder and decoder, represented by the below equations:

We are just trying to minimize the L here. All the backpropagation rules still hold.
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Pratham Prasoon
Pratham Prasoon
@PrasoonPratham
Are you planning to learn to Python for machine learning this year?

Here's everything you need to get started.
🧵👇

In this thread we'll look at all the concepts in Python you need to know for machine learning along with free resources to help you out.

All of this is based on my experience of successfully teaching 300+ students how to code using Python.

(2 / 19

You can use many languages for machine learning, why Python?

Because of 2 reasons:
- Comparatively easier to learn than other languages
- Has the biggest and most mature community

This makes Python a no-brainer to learn for machine learning as a beginner.

(3 / 19)

These are the absolute basics which you must know about:

- Basic terminal commands
- Basic arithmetic (+,-,/,*)
- Accepting user input
- For & While loops
- Exception handling
- If-Else statements
- Functions, modules & Imports

(4 / 19)

Then comes the more tougher concepts which you must know about:

- Object oriented programming in Python:Classes, Objects, Methods
- PIP (Pypi)
- List slicing
- String formatting
- Dictionaries & Tuples
- Managing environments
- Dunder methods like __init__

(5 / 19)
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Jan Giacomelli
Jan Giacomelli
@jangiacomelli
🤔 Python generators

What are they? How to use them?

#Python

🧵Let's find out 👇

1️⃣ Python generators are lazy iterators delivering the next value when their .next() is called.

They are created by using the yield keyword

next() can be called explicitly or implicitly inside for loop

They can be finite or infinite


2️⃣ yield - where a value is sent back to the caller, but the function doesn’t exit afterward as with the return statement

The state of function is remembered.

For example, the number is incremented and sent back from yield at the consecutive call next()


3️⃣ Generator stores only the current state of the function - it generates next element on next() call and forgets the previous one -> it saves memory

For example, we don't need to store 1mio elements in memory to do something with each element


4️⃣ When you call a generator function generator object is returned - it's not executed yet

It executes only when next() is called

For example, that's why Exception is raised only on the next() call
MACHINE LEARNING

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Lakshminarayan G
Lakshminarayan G
@narayanagl
The Chanting of following names of Bhagwan Vishnu, immensely helps us in overcoming the obstacles in our daily life.
These names are from Sri Vishnu Sahasranama!
|. "Om Vashatkaaraaya Namaha" : For Success in Business.
||. "Om Aksharaaya Namaha" : For Success in Studies.


|||. "Om Bhuthabhavanaya Namaha" : For Good Health.
|V. "Om Paramaathmane Namaha" : For Self Confidence.

Src: VAK magazine from Chilkur Balaji Temple, Hyderabad - Sri @csranga
#SanatanaDharma #SanatanaSanskriti #Sattology

One needs to chant the following slokas 28 times to get rid of certain problems in life.
Om Hrushikesaya Namah - For Overcoming Bad habits
Om Vashatkaaraya Namah - For Success in Business, Interviews, visa interviews, building relationships


Om Srimate Namah - For Handsome appearance & wealth
Om Aksharaya Namah - For Education & better financial strength
Om Paramatmane Namah - For self employed people, for promotions and success in games.
Om Putatmane Namah - To remove mental stress & for mental peace


Om Sarmane Namah - For Job Satisfaction
Om Bhutadaye Namah -To amend soured friendship or any personal relationship
Om Dhatre Namah - For issueless couple
Om vidhatre Namah - Pregnant Ladies to Chant for healthy babies.
Chant the following 108 times :
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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.
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Shalini Singh Sengar
Shalini Singh Sengar
@Maverickmusafir
(An extract from Field Marshal Sam Manekshaw, Soldiering with Dignity)

The man eventually destined to be free India's first Field Marshal was born on 3rd April 1914 at Amritsar. How did a Parsi couple settle for the holy city of the Sikhs? I once asked him and was told that in+


1899, his father recently qualified as a doctor and just married, could make no professional headway in Bombay, and was advised to try his luck at Lahore in the Punjab. With his young wife, he set off by train for Lahore. The long dusty and hot journey took five days and by the+


end of it, his young wife, who had never left the comforts and civilization of Bombay, was in hysterics and cried to go back. Poor Dr Manekshaw did all he could to comfort her, but as the train steamed into Amritsar, with her first sight of the Sikhs the young bride screamed her+

lungs out and refused to go any further. So they left the train at Amritsar, and there they stayed for forty-five years.

The Manekshaws had six children, four boys and two girls, and Sam was the fifth child. Sam had his schooling at Nainital's Sherwood College.+

After completing his schooling, he should have gone to England to pursue higher studies; this was the promise made to him by his father but, fortunately for the Indian Army, Dr Manekshaw felt that this particular son was far too young to be on his own in a foreign country, even+
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Enigma
Enigma
@ainittomai
On December 25 Mr Pool retweeted August 16 message about the Phoenix and that the worst was still on the horizon to come. 1/*


Maybe now we can assume that November 3 message meant "FUD" nor "FUN". Putting the word in capital letters seems to indicate the aspect the word fud has in our space, FUD. 2/*


Brad started it on December 22 (1/3 posts (Don't say? Sure) = 13 = Plan B). 3/*


And immediately the SEC followed dropping the bomb (1.3 billions (Don't say? Sure) = 13 = Plan B). 4/*


FUD materializes, Bitstamp is one of the first that haltes XRP trading and so on. 5/*
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sriram
sriram
@SriramKannan77
'Treasure Gods' - Sangha Nidhi' and 'Padma Nidhi', Tirumala, Tirupati.

------------------------------------

These are the two guards guarding the Wealth and Treasure of Lord Sri Venkateswara.

They are representatives of two treasures of Kubera, the God of Wealth.


One guard who is holding shangam (conch) on both the hands is known as Shanka Nidhi ('nidhi' means wealth).

On the other side, the guard who is holding Lotus flowers on both the hands is known as Padma nidhi.

Shangu is from the ocean which includes all types of wealth like pearls and corals.

Why shagam in his hand? Because shangam only gives the sound of 'omkaram'.

'Padmam' is the symbol of water sources in land like river, lakes, tanks etc. which is very important for all living beings.

As per the tradition, these guards are installed at the third entrance of the temple.

One enters the holy shrine after saluting the first protection threshold - Sankha Nidhi and Padma Nidhi.
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