BC MACHINE LEARNING
Saved by @SteveeRogerr

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/
This goes for ALL disfavored views: not just ones we laud, but also the ones we deplore. Many Americans have nursed secret white supremacism but only whispered about it, because saying it aloud would attract social sanction, with real consequences.

6/
Search let these people find each other. Having formed groups, they were able to brave social consequences and begin to shout about it. When they did, they converted people who were sort-of racist all along to their cause. "Radicalization" is closely related to "convincing."

7/
But search isn't the only way that groups with hard-to-find traits can be discovered: there's also targeting. Ad-tech companies spy on us, ascribe traits to us, then sell the right to target those traits to advertisers.

8/
"Show my ad to midwestern high school cheerleaders"

"To people shopping for a new fridge"

"To the owners of senior dogs"

"To people with diabetes"

"To readers of cyberpunk science fiction novels"

"To people skeptical of Big Tech"

"To Bernie Sanders supporters"

9/
"To violent, Trump-addled conspiracists plotting insurrection"

https://t.co/Q8lsg2yCXg

10/
To be fair, the Facebook ads "for body armor, gun holsters, and other military equipment next to content promoting election misinformation and news about the attempted coup at the US Capitol" were probably not necessarily targeted at "coup plotting" per se.

11/

More from Cory Doctorow #BLM

Cory Doctorow #BLM
Cory Doctorow #BLM
@doctorow
Inequality requires narrative stabilizers. When you have too little and someone else has more than they can possibly use, simple logic dictates that you should take what they have.

1/


The forbearance exercised by the many when it comes to the wealth of the few isn't down to guards or laws - rather, the laws and the guards are effective because of the STORY, the story of why this is fair, even inevitable.

2/

Think of the story of monarchy and its relationship to the Church: the Church affirms that the monarch (and the aristocracy) was chosen by God ("dieu et mon droit") and the monarchy reciprocates by giving the Church moral and economic power within the kingdom.

3/

Capitalism replaced the story of divine will with a story of a self-correcting complex system: humans are born and raised with a variety of aptitudes and tastes, and at any moment, historical exigencies dictate that some individuals are better suited than others to do well.

4/

When it's railroad time, there are people who were born to oversee the laying of track and the coordination of rail networks: markets find those people, allocate capital to them, and allow them to mobilize that capital to produce shared prosperity for all of us.

5/
CULTURE
Cory Doctorow #BLM
Cory Doctorow #BLM
@doctorow
Today's Twitter threads (a Twitter thread).

Inside: Stop saying "it's not censorship if it's not the government"; Trump's swamp gators find corporate refuge; and more!

Archived at: https://t.co/7JMcAbaULj

#Pluralistic

1/


Monday night, I'll be helping William Gibson launch the paperback edition of his novel AGENCY at a Strand Bookstore videoconference. Come say hi!

https://t.co/k3fvBdqOK0

2/


Stop saying "it's not censorship if it's not the government": I didn't expect the Spanish Inquisition.

https://t.co/7I0MpCTez5

3/


Trump's swamp gators find corporate refuge: The Swamped project.

https://t.co/MUJyIOr2iw

4/


#15yrsago A-Hole bill would make a secret technology into the law of the land https://t.co/57bJaM1Byr

#15yrsago Hollywood’s MP loses the election — hit the road, Sam! https://t.co/12ssYpV46B

#15yrsago How William Gibson discovered science fiction https://t.co/MYR0go37nW

5/
TRUMP
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Cory Doctorow #BLM
Cory Doctorow #BLM
@doctorow
Accountancy is more likely to be mocked than celebrated (or condemned), but accountants, far more than poets, are the unacknowledged legislators of the world.

1/


Though "bean counters" are employed by firms, they are notionally bound by a professional code of ethics every bit as serious as the Hippocratic Oath: "count things honestly." Without an accurate accounting of quantities, you can't make good decisions on quality.

2/

Though accountancy concerns itself with counting things, it is inextricably bound up with the realm of ideas, and accounting conventions (how you account for things) are philosophical matters, not empirical ones.

3/

It's no coincidence that #ModernMonetaryTheory owes more to accountancy than it does to economics. Economic accounts of the economy have an unfortunate tendency to proceed from first principles, creating models based on pure reason, without checking in on the actual world.

4/

For example, neoclassical econ's "homo economicus," the rational value-maximizing actor who populated so many models; or economists' insistence on targeting inflation with interest rates; or treating national "debts" like they were household debts.

5/
HISTORY
Cory Doctorow #BLM
Cory Doctorow #BLM
@doctorow
2018 was almost the year we won the #RightToRepair.

Instead, 2018 turned out to be the year we lost #R2R: 20 bills defeated in 20 state houses, and it was mostly @apple's fault.

1/


Apple has a problem. As CEO Tim Cook warned his investors at the conclusion of his company's repair-killing lobbying spree, Apple's profits depend on people throwing away their devices, not fixing them.

By monopolizing repairs, Apple doesn't just get to gouge you on parts and service - the real action is in pronouncing your device DOA, beyond repair. Then you have to buy another one.

3/

Other companies lobbied hard against R2R: John Deere, GM, and other monopolists backed Apple's play. But Apple wrote the playbook, coming up with risible bullshit like claims that blocking independent repair is essential to protecting

Apple's anti-repair FUD got picked up and amplified by Big Car in 2020, when they spent millions fighting an automotive R2R ballot initiative in Massachusetts, claiming that letting independent mechanics at your car would lead to your actual MURDER.
BUSINESS
Cory Doctorow #BLM
Cory Doctorow #BLM
@doctorow
2022 is shaping up to be a bloodbath. The Trump census cooked the numbers to advantage Republicans, and GOP statehouses are poised to redistrict in ways that will hand potentially permanent minority rule to the GOP in Congress.

1/


There's a potential way out: #HR1, an omnibus bill of electoral reforms that would create durable, structural protections for voting rights and a level playing field for campaigning.

2/

To get a sense of how urgent the looming crisis is - and of how important HR1 is - listen to @ryangrim interviewing @schwarz and Rep @JohnSarbanes [D-MD] on this week's

In theory, HR1 could be blasted through - Dems control the Senate, Congress, and the White House, and the future of the party depends on it, but I'm far from confident that they'll find the discipline and political will to make it happen.

4/

The Democrats keep squandering their majorities and wasting opportunities to make real change - changes that are must-haves, not nice-to-haves; changes needed to head off existential threats to the nation itself.

5/
TRUMP

More from Machine learning

IM POCUS Focus
IM POCUS Focus
@IMPOCUSFocus
A tweetorial on optimal machine settings for B line image acquisition, with a focus on: focal position at pleura, harmonics off, and increased far gain.

Inspired/based on the recent article - https://t.co/vv2xBSZm6N
@cameron_baston @IsaacMatthiasM1

#POCUS #IMPOCUS

1/18

Let's start with some polls
We will stick to low frequency probes here (i.e. curvilinear and phased array - linear has its own purpose for detailed pleural assessment)

Which preset do you prefer for B line assessment?

2/

What depth do you typically set?

3/

After selecting preset and selecting depth, do you ever adjust any other machine settings to optimize B line assessment?

4/

Importantly, there is no right answer to the above questions!

We won't discuss much about preset or probe type. But we will discuss machine settings to optimize B line quality, based on
1) Theory based on physical basis of B lines
2) In vitro study
3) Study in patients

5/
MACHINE LEARNING
Madison Kanna
Madison Kanna
@Madisonkanna
With hard work and determination, anyone can learn to code.

Here’s a list of my favorites resources if you’re learning to code in 2021.

👇

1. freeCodeCamp.

I’d suggest picking one of the projects in the curriculum to tackle and then completing the lessons on syntax when you get stuck. This way you know *why* you’re learning what you’re learning, and you're building things

2. https://t.co/7XC50GlIaa is a hidden gem. Things I love about it:

1) You can see the most upvoted solutions so you can read really good code

2) You can ask questions in the discussion section if you're stuck, and people often answer. Free

3. https://t.co/V9gcXqqLN6 and https://t.co/KbEYGL21iE

On stackoverflow you can find answers to almost every problem you encounter. On GitHub you can read so much great code. You can build so much just from using these two resources and a blank text editor.

4. https://t.co/xX2J00fSrT @eggheadio specifically for frontend dev.

Their tutorials are designed to maximize your time, so you never feel overwhelmed by a 14-hour course. Also, the amount of prep they put into making great courses is unlike any other online course I've seen.
MACHINE LEARNING
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Pratham Prasoon
Pratham Prasoon
@PrasoonPratham
Machine Learning for the Web developer in 2021.

The beginner's guide.​

🧵👇

I started machine learning as a web developer, if I can do it then anyone can.

This carefully curated thread will give you key insights into my journey and how you can make this transition, seamlessly.

(2 / 14)

"Machine learning is not what you think it is"

One of the main reasons why people find it difficult to get started with machine learning is because of the lack of information, and rightfully so.

(3 / 14)

Machine learning as a concept has existed since the 1950s, but has only become popular in recent years because of the exponential rise of advancements in computer hardware.

(4 / 14)

In short, it because of the sudden rise of this technology ,which was previously unknown to the general public, that there is a lot of misinformation around it.

(5 / 14)
MACHINE LEARNING
Cassie Kozyrkov
Cassie Kozyrkov
@quaesita
1/🧵 Good #DataScience advice that breaks pretty much every rule you learned in class... a thread. (+full blog post linked)

English version: https://t.co/dG4l6vPFBT
Spanish version: https://t.co/gFAjPQ5clS

#AI #MachineLearning #Statistics #RStats

2/🧵 Allow your approach to be sloppy at first and burn some of your initial time, energy, and data on informing a good direction later. That's right, you're supposed to start sloppily ON PURPOSE.

3/🧵 Have a phase where the only result you’re after is *an idea of how to design your ultimate approach better.*

4/🧵 In other words, start with a pilot phase where the objective isn't finding answers, it's finding a good approach to finding answers.

5/🧵 That means you're encouraged (ENCOURAGED!) to start with everything your stats classes told you not to do:
MACHINE LEARNING
Pratham Prasoon
Pratham Prasoon
@PrasoonPratham
Which libraries do you really need to get started with Machine Learning and why?

🧵👇

First and foremost, make sure that you have nailed the fundamental concepts of Python because machine learning requires a lot of programming!

(2 / 19)

If you know these topics, then you are good to go with machine learning in Python

- Object-oriented programming in Python:Classes,Objects,Methods
- Lists & List functions
- List comprehension
- List slicing
- String formatting
- List,Dictionaries & Tuples

(3 / 19)

Now, let's understand what popular python machine learning libraries do.

We will talk about👇
- TensorFlow (+ Keras)
- PyTorch
- Pandas
- Numpy
- Matplotlib
- SciKit Learn
- Seaborn

(4 / 19)

Now let's cover the libraries that you have to learn (at least the basics) for machine learning

1. Pandas

Pandas is a python library that allows you to store and read data from spreadsheets ( .csv, .xlsv files ) in structures called Dataframes.

(5 / 19)
MACHINE LEARNING

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@oyevivekk
THREAD:

80 Films with the biggest Plot Twists that will blow your mind.

1. Fight Club


2. Predestination


3. Seven


4. Requiem for a Dream
MOVIES , ALL , LIST OF MOVIES
Antonio Garc\xeda Mart\xednez
Antonio García Martíne...
@antoniogm
Observing the public conversation around FB, and the private ones happening among techies and ex-FBers, I think the mutual misunderstanding is worse than when I set out two years (and 500 pages) ago to (in a small way) bridge that gulf.

We're basically fucked.

The tech world has gotten so huge, self-reinforcing, and insulated from reality they can no longer even vaguely look at themselves (and their actions) as others do. They just live on a different planet than most people.

Conversely, the average tech consumer doesn't understand the technology that has slowly taken over their lives, and their designated emissaries to figure it out--politicians, pundits, regulators, journalists--understand it barely better than they do, and have their own agendas.

To say more than generalities for a moment, here's what I think is likely the core problem.

Techies take weird, improbable visions, and make them realities: some BS pitch deck to a VC, mixed with money and people, really does turn into some novel thing.

Most people work inside a legacy industry that's evolved that way over time (usually for good reasons), and they think about the future via some analogy with their present (which is a function of a long-ago past). The interruption that tech will introduce is often hard to grasp.
TECH
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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
Robin Berjon
Robin Berjon
@robinberjon
Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
TECH
Anu Satheesh
Anu Satheesh
@AnuSatheesh5
Ameda Temple
Ernakulam, Kerala 🚩
#keralatemples

Ameda Ksetram is located in the banks of Vembanad Lake. Temple is very unique and Powerful Sarpa Kavu.
Parashurama did Prathishta here. Vilakku which was lighted by Parasurama is still seen inside the temple.


The oil from this lamp is given to bhakthas for recovering from illness.

Sthala puranam says that, Once, when Parashurama was travelling through Kerala, he reached this place. As it was evening, he stepped into the Lake for Sandhya Vandanam
At that Sapthamathrukkal 👇


(Brahmini, maheshwari, kowmari, vaishnavi, varahi, indirani and chamundi) were travelling there on a tortoise through the water. The tortoise was unable to move, because the Water had made its way for Parashurama. The place where the tortoise became Still came to be known as 👇


Aama Ni Nidayam' ( Aama means tortoise) and later become ‘Ameda’. Parashurama came to know about the journey of Sapthamathrukkal. Thus, he did Prathishta for the Sapthamathrukkal here.
7 forms of Aadi Parashakthi are Sapthamathrukkal. Veerabhadra and Ganesha have Sannidhi here.


The main Garbhagriham in the temple is the Sapthamathrukkal. There are Sannidhi to Nagas, Nagayakshi and Vishnu too. Sarparadhana or snake worship is done here. Naga Panchami is famous here. Those who have Naga Dosham come here and get relieved of their Doshas.
🕉🙏🕉
ALL