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.

More from Machine learning

John Burn-Murdoch
John Burn-Murdoch
@jburnmurdoch
Really enjoyed digging into recent innovations in the football analytics industry.

>10 hours of interviews for this w/ a dozen or so of top firms in the game. Really grateful to everyone who gave up time & insights, even those that didnt make final cut 🙇‍♂️ https://t.co/9YOSrl8TdN


For avoidance of doubt, leading tracking analytics firms are now well beyond voronoi diagrams, using more granular measures to assess control and value of space.

This @JaviOnData & @LukeBornn paper from 2018 referenced in the piece demonstrates one method https://t.co/Hx8XTUMpJ5


Bit of this that I nerded out on the most is "ghosting" — technique used by @counterattack9 & co @stats_insights, among others.

Deep learning models predict how specific players — operating w/in specific setups — will move & execute actions. A paper here: https://t.co/9qrKvJ70EN


So many use-cases:
1/ Quickly & automatically spot situations where opponent's defence is abnormally vulnerable. Drill those to death in training.
2/ Swap target player B in for current player A, and simulate. How does target player strengthen/weaken team? In specific situations?
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.
MACHINE LEARNING
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Pratham Prasoon
Pratham Prasoon
@PrasoonPratham
Are you planning to learn 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)
MACHINE LEARNING , ALL , PYTHON STUDY
Santiago
Santiago
@svpino
The 8-step quick-start guide to learn Machine Learning.

🧵👇

1⃣ Start with Python 🐍

Yes, you can do other languages, but Python is by far the most straightforward option.

👇

2⃣ Get familiar with numpy, pandas, and matplotlib

These three libraries are probably the most common Python libraries you'll have to use every day.

(Even if you don't end up doing machine learning, these libraries are awesome and useful.)

👇

3⃣ Start using notebooks

Look into Jupyter or Google Colab.

Notebooks are essential for data scientists and machine learning practitioners. Most of the code you'll read and write will be in notebooks.

👇

4⃣ Find a problem (already solved)

In my opinion, the best way to start is by working through a problem —especially when you can learn from its solution.

Start with something simple. I usually recommend "Titanic" from Kaggle.

👇
MACHINE LEARNING , STARTING MACHINE LEARNING
Pratham Prasoon
Pratham Prasoon
@PrasoonPratham
A simple guide on how to train your first neural network in under 10 minutes to kick-start your machine learning journey.

(+ no setup required and free extra resources)
🧵👇

For this exercise, you'll need :
- A computer/phone
- An internet connection
- Very basic Python knowledge
- Willingness to learn

What you do not need:
- Complex math
- An expensive computer
- A PhD

Math will come later on in your machine learning journey :)

(2 / 15)

Here's our problem,we are given data in which we are given the number of flats in a house and its corresponding price. Like a house with one flat is worth 10000, and 20000 for a house with 2 flats.

(3 / 15)


We can clearly tell that the price of the house increases by 10000 per extra flat however our computer does not know this and we won't it tell it about this, it'll have to figure things out on its own.

(4 / 15)

Here's the code👇

(5 / 15)
MACHINE LEARNING

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According to @RadioZET_NEWS PKN Orlen (major Polish oil refiner and petrol retailer) is considering entering F1 as a fuel sponsor (supplier) and personal sponsor of Robert Kubica. #F1

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Kentaur Wolf2
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Хајде да направимо мали осврт на случај Мика Алексић .

Алексић је жртва енглеске освете преко Оливере Иванчић .
Мика је одбио да снима филм о блаћењу Срба и мењању историје Срба , иза целокупног пројекта стоји дипломатски кор Британаца у Београду и Оливера Иванчић


Оливера Илинчић је иначе мајка једне од његових ученица .
Која је претила да ће се осветити .

Мика се налази у притвору због наводних оптужби глумице Милене Радуловић да ју је наводно силовао човек од 70 година , са три бајпаса и извађеном простатом пре пет година

Иста персона је и обезбедила финансије за филм преко Беча а филм је требао да се бави животом Десанке Максимовић .
А сетите се и ко је иницирао да се Десанка Максимовић избаци из уџбеника и школства у Србији .

И тако уместо романсиране верзије Десанке Максимовић утицај Британаца

У Србији стави на пиједестал и да се Британци у Србији позитивно афирмишу како би се на тај начин усмерила будућност али и мењао ток историје .
Зато Мика са гнушањем и поносно одбија да снима такав филм тада и почиње хајка и претње која потиче из британских дипломатских кругова

Најгоре од свега што је то Мика Алексић изговорио у присуству високих дипломатских представника , а одговор је био да се све неће на томе завршити и да ће га то скупо коштати .
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AKASH
AKASH
@AKASHBH95801446
THE SCIENCE BEHIND YAJNA

Fire is, of course, one of the greatest discovery of mankind. Our control over the fire dramatically changed the entire human habits; earlier it was used to cook food, protection from animals and to stay warm.


Among the many applications of fire, one is Yajna (यज्ञ, yajña); also called as Havana (हवन) or Agnihotra (अग्निहोत्र).
Yajna is elaborately described in Yajurveda. In Yajurveda, Yajna is the greatest among all works (Karman). One can purify his /her soul by performing Yajna.

In Vedic culture, it is thought that the holy fire is the mediator between Gods and us; when the offerings are made to Yajna with chanting mantras, it directly reaches the Gods, who bless the people with rains, food, health, and good luck.

According to Apastamba Sutra, the definition of Yajna is Vedic sacrifice; an act by which we surrender something for gods e.g. grains (Anna), pulse, milk and milk product (ghee, butter, curd) fruits, plant juice (soma), etc.

As we said; Yajna is the contact medium for gods and

to seek their blessings.

There are many types of Yajna performed by Hindus for e.g.,

1. Rajsuya Yajna
2. Ashwamedha Yajna
3. Chaaturmasya Yajna
4. Vaajpey Yajna
5. Purushmedha Yajna
6. Sarvamedha Yajna
RELIGION
Egypedia
Egypedia
@Egypediax
Ancient Egypt was the most advanced civilization in the ancient world. Why was Egypt so special?

There are so many firsts in Egypt that we all know about, and that makes Egypt unique. For example, the Sumerians did not build the pyramids of Egypt.


Save as history
HISTORY
Khatvaanga
Khatvaanga
@khatvaanga
Starting my 2nd thread on Sringeri Parampara. This will cover the Jagadgurus after Sri Vidyaranya to Sri Shivabhinava Nrisimha Bharati.

It is really very tough to match the brilliance and achievements of Vidyaranya. After whom came 15 - Chandrashekara Bharati [1386-1389].

The next Acharya was Nrisimha Bharati [1389-1408]. Harihara raya found a town for this Acharya - Narasimhapuram. Acharya helped the king by guiding him in political affairs. He also initiated the kind with mahamantras for spiritual development.

Subsequent Acharyas were
15-Puroshottama Bharati [1408 - 1448]
16-Shankara Bharati[1448 - 1455]
17-Chandrasekhara Bharati II [1455 - 1464]
18- Nrisimha Bharati II [1464 - 1479]
19-Puroshottama Bharati II [1479 - 1517]

20-Ramachandra Bharati [1517 - 1560]. Sadashiva Raya was emporer of Vijayanagara during this time.
21-Nrisimha Bharati III [1560 - 1573]
22-Nrisimha Bharati IV [1573 - 1576]
23-Nrisimha Bharati V [1576 - 1600]

24-Abhinava Nrisimha Bharati [1600-1623]. When he visited Malahanikareswara temple for first time he noticed there was no Vinayaka there so he took piece of turmeric and drew outline of Ganesha on a pillar and offered puja.
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