BC MACHINE LEARNING
Saved by @Mollyycolllinss

1/ It's probably not the first thing you think of, but when we started .NET (COM+) in the late 90s, C# didn't exist yet. We were working on it at the same time as the CLR and the framework. So, you might wonder, what language was being used to generate IL and write the BCL?

 2/ The answer is a language that we called SMC that Peter Kukol wrote the compiler for. Peter is a flat out amazing engineer and wrote the core parts of the compiler in just a few days. This unblocked the framework team, allowed vetting the runtime and interpreter, etc.
3/ SMC was a trimmed down C++ variant and the compiler was written in itself (i.e. SMC). It didn't support things like destructors, multiple inheritance, virtual base classes, etc. But, overall it enabled progress that would have otherwise been stalled.
4/ It did introduce a problem for the C# language and compiler team though. Every day more and more code was written in SMC, a language that we did not intend to ship externally. Designing a new language is hard (well, at least, a general purpose one that becomes popular).
5/ So there was a constant balancing act between laying enough of the foundation of the language and the C# compiler to replace SMC and making sure that the design lived up to the goals and ideals the team was striving for. If we waited too long to adopt C#,
6/ there would be too much SMC code written and we might not be able to reasonable port all of it. If we moved too early, the C# language wouldn't have time to bake and we would sacrifice the design aesthetic for expediency.
7/ Folks know how this ends - we eventually felt good enough about the state of the C# language and compiler to begin the migration and ultimately converted the entirety of the framework. The design team was incredibly disciplined and held a hard line
8/ on the design of the language. As far as I can remember there wasn't a single language concession that was made in order to 'rush', despite the pressure. That isn't to say there was no impact though. I'll talk about what it meant for the compiler and IDE in a separate thread,
9/ but there were a small number of features added to unblock the BCL and make migration easier. For example, the __ keywords, like __arglist, __makeref, etc. It also meant that the design team started the practice of meeting 3x a week for multiple hours a day to resolve design
10/ issues. Looking back, it was a heady time, stressful, but exciting.

More from Machine learning

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
Caio Rolla
Caio Rolla
@caio_rolla
Starting a new project using #Angular? Here is a list of all the stuff i use to launch my projects the fastest i can.

A THREAD 👇

Have you heard about Monorepo? I created one with all my Angular (and Nest) projects using https://t.co/aY5llDtXg8.

I can share A LOT of code with it. Ex: Everytime i start a new project, i just need to import an Auth lib, that i created, and all Auth related stuff is set up.

Everyone in the Angular community knows about https://t.co/kDnunQZnxE. It's not the most beautiful component library out there, but it's good and easy to work with.

There's a bunch of state management solutions for Angular, but https://t.co/RJwpn74Qev is by far my favorite.

There's a lot of boilerplate, but you can solve this with the built-in schematics and/or with your own schematics

Are you not using custom schematics yet? Take a look at this:

https://t.co/iLrIaHVafm
https://t.co/3382Tn2k7C

You can automate all the boilerplate with hundreds of files associates with creating a new feature.
MACHINE LEARNING
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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)
MACHINE LEARNING , PYTHONML
Unknown \U0001f464
Unknown 👤
@console_404
10 PYTHON 🐍 libraries for machine learning.

Retweets are appreciated.
[ Thread ]


1. NumPy (Numerical Python)

- The most powerful feature of NumPy is the n-dimensional array.

- It contains basic linear algebra functions, Fourier transforms, and tools for integration with other low-level languages.

Ref: https://t.co/XY13ILXwSN


2. SciPy (Scientific Python)

- SciPy is built on NumPy.

- It is one of the most useful libraries for a variety of high-level science and engineering modules like discrete Fourier transform, Linear Algebra, Optimization, and Sparse matrices.

Ref: https://t.co/ALTFqM2VUo


3. Matplotlib

- Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

- You can also use Latex commands to add math to your plot.

- Matplotlib makes hard things possible.

Ref: https://t.co/zodOo2WzGx


4. Pandas

- Pandas is for structured data operations and manipulations.

- It is extensively used for data munging and preparation.

- Pandas were added relatively recently to Python and have been instrumental in boosting Python’s usage.

Ref: https://t.co/IFzikVHht4
MACHINE LEARNING
Cory Doctorow #BLM
Cory Doctorow #BLM
@doctorow
We hear a lot about Facebook as a platform for manipulation - using machine learning to bypass our critical faculties and trick us into believing things that are bad for us - but the real show is in Facebook's ability to target, not manipulate.

1/


People who hold disfavored views struggle to find one another and mobilize. To find other people that feel the same way as you and make common cause with them to effect political change, you have to reveal your views and suffer social sanction.

2/

Search allows people who hold these views to find one another. If you have a deep feeling about your gender being nonbinary but don't know the words for it, you can search for communities of people who have those words, join them, and discover who you've been all along.

3/

This is why, in this moment, so many ideas are migrating from the fringe to the center: ideas about racial justice, gender identity, alternatives to market systems, etc. People have harbored these views all along, but have held back on expressing them.

4/

Being able to express yourself in private, among people who share your views, is a prelude to going public and putting your case to the wider world in hopes of effecting change.

5/
MACHINE LEARNING

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THREAD: What is Golden Crescent and Golden Triangle and how it impacts India?

Golden Crescent region of South Asia - comprises of Afghanistan, Iran, and Pakistan - which is a principal global site for opium production and distribution.


Golden Triangle is the area where the borders of Thailand, Laos and Myanmar meet at the confluence of the Ruak and Mekong rivers. The Golden Triangle is called so because of the triangular shape formed by the locations of New Delhi, Agra and Rajasthan on a map.


India is wedged bw world’s 2 largest areas of illicit opium production, Golden Crescent & Golden Triangle, that has made Indian borders vulnerable to drug trafficking. It flows from 2 fronts, NW & NE, that possesses dual concern - violation of border & threat to national security

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- Its proximity to Indo-Pak border has worsened the trafficking of hashish and heroin into Indian soil

- Trafficking happens through the border states of J&K, Punjab, Rajasthan and Gujarat.


- Golden Triangle is leading opium producing region of the South-east Asia, also an ancient narcotics supply route to North America & Europe.

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Trader knight
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Pyramiding 2.0

A thread-


What is pyramiding?

It is simply adding to your winners.

Why use pyramiding?

1. It makes your winners bigger than your losers.

• Because you are adding positions when your trades are going your way, you are increasing your gains but your losers will be small comparatively.

2. You lose less during Draw-down time ( it saves you from losing big during whipsaws )

• Many times when the market is in sideways mode, Entering a trade with full risk might not be the best idea.

• So, you test the waters with a small position first, it could be ⅓ or ¼ of your total risk.

• So if the Breakout fails or whipsaws come, then you will only lose a small part of your overall risk.

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3. It helps you to concentrate on a few trades,

They say that don’t put all your eggs in one basket, but don’t put them in too many either.

• See, Everyone can see charts and find breakouts, pullbacks etc.
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1. There are more people added on the list of arrests and executions of famous people but no further intel is available at this time.

ARRESTS and EXECUTIONS OF FAMOUS PEOPLE 2020 UPDATED
Explanation of the latest military tribunal arrests and executions of famous people in 2020.

2. The tribunals are arresting these people in plain clothes. We saw the Obama’s arrest, although we didn’t know it was an arrest at the time. The arrest was done nonchalantly so as to not get noticed by the public.
All arrests of these famous people were done this way.

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If the person arrested has evidence on someone else to help their prosecution, or is willing to help Trump, & they want to cooperate, they may be allowed to do so.

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All famous people arrested were either treasonous or involved in satanic worship rituals.
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Srikanteshwara Temple,
#Nanjangud  #Karnatakatemples 🚩

Srikanteshwara Temple or
Nanjundeshwara Temple is a famous Shiva Temple located in Karnataka at the bank of river  Kapila. Temple is also called Varanasi of South. Nanjunda means one who has consumed poison.


Story is  related to the Samudra Mathanam when Paramashiva had to consume halahala.

Parashurama worshipped Mahadeva here to relieve himself from the curse of Mathru Hatya. While clearing the place to do poojas Parashurama's  axe hit the Shivalingam and it began bleeding, that


mark is still visible even today. Thus
it is also believed that Parashurama did Shiva Prathishta here

Sthala Puranam says that, once there was a demon named Keshi who disturbed the people in the area, after  getting blessing from Brahma Deva  and Mahavishnu. Mahadeva appeared


here and killed demon Keshi and blessed this place as Papa Vinashini. Whoever praying to Srikanteshwara or Nanjundeshwara, after bathing in the  Kabini River will be relieved from all sins.

Nanjundeshwaraya Namah
🙏🕉🙏
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Vibhu Vashisth
Vibhu Vashisth
@VIBHU_Tweet
Surkanda devi mandir is a famous shrine of Hindus located near Kaddukhal distt of Uttarakhand, 11 Km from the town of Dhanaulti and 35 Km from Mussoorie.
The Temple is one of the 51 Shakti Peethas spread all over Indian Subcontinent and is dedicated to Goddess Surkanda.


Nestled on a Hill at an Altitude of 2700 m approx, the place offers a splendid view of the snow capped mountains, the picturesque scenic beauty that offers an experience of the lifetime.
The Temple build in the traditional Garhwal style exuberates the Architectural splendour.


The origins of the Surkanda Mata Mandir is attributed to Goddess Sati, consort of Bhagwan Shiv who in a rage immolated herself in her arrogant Father Daksha's Yajna Kund bcoz he didn't invite Bhagwan Shiv in the Yajna.


Devastated by the death of Sati Shiva wandered all over the cosmos performing Tandava-The Dance of Cosmic Destruction.Fearing the total annihilation of cosmos, Gods requested Bhagwan Vishnu to pacify Shiva.Bhagwan Vishnu then used his discuss to destroy the burning corps of Sati.


The pieces of Sati Mata's body then got scattered all over the region which were later established as Shakti Peethas by Bhagwan Shiva himself.Its believed that the head of Sati fell here and it was called Sirkhanda Mata Temple before, but with passage of time it became Surkanda.
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