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Pratham
@PrasoonPratham 3 years, 8 months ago 709 views

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A git cheat sheet for all your needs!

https://t.co/H7QdOrthwV

More from Pratham

Pratham Prasoon
@PrasoonPratham

Do you want to learn the maths for machine learning but don't know where to start?

This thread is for you.
🧵👇

The guide that you will see below is based on resources that I came across, and some of my experiences over the past 2 years or so.

I use these resources and they will (hopefully) help you in understanding the theoretical aspects of machine learning very well.

Before diving into maths, I suggest first having solid programming skills in Python.

Read this thread for more

Are you planning to learn Python for machine learning this year?

Here's everything you need to get started.
\U0001f9f5\U0001f447
— Pratham Prasoon (@PrasoonPratham) February 13, 2021

These are topics of math you'll have to focus on for machine learning👇

- Trigonometry & Algebra

These are the main pre-requisites for other topics on this list.

(There are other pre-requites but these are the most common)

- Linear Algebra

To manipulate and represent data.

- Calculus

To train and optimize your machine learning model, this is very important.

Pratham
@PrasoonPratham

This is a beginner's guide on mining cryptocurrencies.

🧵 👇🏻

Mining 101

Typically, when you transfer money using a service like Paypal, they take a small cut for facilitating the exchange.

In cryptocurrencies, people like you and me act as Paypal and facilitate exchanges of cryptocurrency. We get a cut for this just like Paypal did.

In order to make these transactions happen, our computers need to do some calculations which requires a lot of computational power.

A GPU or a Graphics Processing Unit which is typically marketed for gaming workloads can be used to mine cryptocurrencies.

Why do you need a GPU?

Today, there are so many miners that the "difficulty" of mining cryptocurrencies has skyrocketed, which basically means it takes a lot of computational power to mine crypto which GPUs can provide and CPUs cannot.

(❗ This is an oversimplification)

If you are interested in the inner workings of how blockchain and cryptocurrency, then I highly suggest that you read this thread by @oliverjumpertz

What actually is a Blockchain?

Bitcoin is breaking record after record, but there must be more to the technology than just crypto, or not? Well, we can take a look at the underlying technology first to understand what it actually provides to us.

\U0001f9f5\u2b07\ufe0f
— Oliver Jumpertz (@oliverjumpertz) February 16, 2021

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Pratham
@PrasoonPratham

I remember how hard it was to find resources for machine learning a couple of years ago.

Now we have so many of them, its impossible for you to not find what you're looking for.

Here are some of them 🧵

1️⃣ Kaggle

My go to place for finding datasets and code snippets, also a great place for discussions.

2️⃣ Papers with code

A collection of the latest and greatest research papers and the best part, a github repository with the code is included!

3️⃣ Kdnuggets

Guides, tutorials and articles on everything AI, Analytics, Big Data, Data Mining, Data Science, and Machine Learning.

4️⃣ Towards Data Science

A blog about data science with accessible and well written articles.

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)

Pratham Prasoon
@PrasoonPratham

Machine learning terms you must know about as a beginner.

🧵👇

These terms won't mean anything unless you know what Machine learning is all about.

> Machine learning is the process of making a program which allows a computer to learn from data.

The data could be anything, images, audio or even text.

(2 / 11)

In machine learning we use something called a neural network, this is essentially an imitation of the human brain.

> Neural Networks are a digital imitation of the neurons you see in the human brain.

(3 / 11)

In these neural networks, data flows through them and each neuron (the circle) has a numerical value which will change.

> The value of a neuron gets changes to something which is close to what we want each time the data passes through the neural network.

(4 / 11)

Think of the neurons as dials on a lock, you have to tune every dial to open the lock.

It is almost impossible for a human to tune thousands of dials like these, but a computer certainly can.

(5 / 11)

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Aditya Todmal
@AdityaTodmal

A Thread on the Boss himself @Mitesh_Engr

Mitesh Sir's Positional Option Selling 101:

• How to find direction
• Which options to sell
• How to deploy capital
• Exit criteria
• What ROI he targets weekly
• What % risk he takes

Done with the help of @niki_poojary

How @Mitesh_Engr Sir finds the direction?

• Daily charts S/R
• 75 min charts S/R
• Intraday trend
• Always play directional
• Never trades in strategies

Which options to sell in weekly expiry according to @Mitesh_Engr?

• Weekly candle High/Low
• Sell 1% away options from those
• Exit when levels breached

Position Sizing by @Mitesh_Engr Sir.

How to deploy your capital?

• First sell 20%
• Pyramid the next day
• When to exit
• What to do when view goes wrong
• What to do with idle capital

Some important tweets of @Mitesh_Engr Sir

• What Data to look at
• ROI for safe players per month
• Max risk per day
• Gather knowledge and play directional
• Never play strategies

foone
@Foone

You want to know something about how bullshit insane our brains are?
OK, so there's a physical problem with our eyes: We move them in short fast bursts called "saccades", right? very quick, synchronized movements.
The only problem is: they go all blurry and useless during this

having your vision turn into a blurry mess every time you move your eyes is obviously not a good idea, so our brains hide it from us. Now, imagine you're an engineer and you have this problem.

You've got some obvious solutions you could do.
1. make the vision go black during movement. (Some VR games do this!)
2. just keep showing the last thing we saw prior to movement

both are good options with different downsides, but OH NO. this is assuming everything makes sense and is chronological and (regular) logical.
Your brain does neither of these options, really.

first, it basically puts your visual system on "pause". You're not seeing blackness or even nothing, you're just not seeing period.
then when you finish your saccade, it shows you what you now see at the new position. and then it pretends it can time travel.

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$\U0001f1fa\U0001f1f8I Support Our Military & Law Enforcement\U0001f1fa\U0001f1f8$

🇺🇸I Support Our Milita...
@TheWiseOwl_AZ

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.

3. If the person is convicted of child sex trafficking, crimes against humanity or treason, they will be executed.
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.

4. A sentence of execution down to life in prison may be accepted if their evidence is worth anything.
When a plea deal is done, the defendant must present evidence they have to make their sentence lighter. This information is given to the prosecution, defense, and to the judge.

5. If evidence is accepted, they are presented the plea deal. They will have to make a guilty plea to the crime with a video confession & written statement. That is how all plea deals work.

All famous people arrested were either treasonous or involved in satanic worship rituals.

Kate Julian
@katejulian

1/ Something strange is happening with people’s sex lives. 20-somethings are having sex later and less frequently than previous generations. I spent several months digging into this for @theatlantic. https://t.co/5ehzmWY9wi

2/ This phenomenon—I’m calling it a Sex Recession—really surprised me. It seemed improbable in the age of Tinder, digital porn, and attitudes that are generally permissive and sex-positive.

3/ What’s happening isn’t exclusively American: Similar trends are being observed in other countries, including Japan, Australia, the U.K., Finland, and the Netherlands.

4/ One cause is obvious: Adults under 35 are less likely to be living with a partner than in recent decades, and more likely to be living with their parents—which, it’s safe to say, isn’t great for one’s sex life.

5/ But I also found other explanations, each with profound implications. The first, unsurprisingly, has to do with internet enticements. Netflix and other online entertainment may be substituting for sex.

Jaya_Upadhyaya
@Jayalko1

SRI LALITHAMBIGAI, THIRUMEYACHUR (TN)
#bharatmandir #navratri2021

Kshetram where Shiva is worshipped as Meghanatha and his consort is Lalithambigai seen in Abhay mudra.
Once, a demon Pandasura was harassing the Devas who went to Devi Parashakti for protection.
@GunduHuDuGa

Devi rose from a Yaga Gunda, mounted on the Sri Chakra Rath with the name Lalithambika, waged a war against Pandasura and destroyed him. When her fury did not subside, Shiva asked her to go to Earth, assume the name Manonmani, perform penance and shed her fury.

Shiva blessed Devi to be Shanta nayagi. There is a sculpture here depicting Shiva pacifying Devi. If you observe closely, you can see that from your left hand side there will be a smile on Her face and if you see from your right hand side you can see anger in Her face.

Hayagriva taught the greatness of Lalitha Sahasranama to Rishi Agasthya. Pleased with his devotion, Ma Lalithambikai appeared before Agastya. He is believed to have then sung Lalita Navaratnamala in praise of Devi. He has also composed a hymn named Rahasyanamasahasram.