I use these resources and they will (hopefully) help you in understanding the theoretical aspects of machine learning very well.
Do you want to learn the maths for machine learning but don't know where to start?
This thread is for you.
🧵👇
I use these resources and they will (hopefully) help you in understanding the theoretical aspects of machine learning very well.
Read this thread for more details👇
https://t.co/sSN3jdxDwK
Are you planning to learn Python for machine learning this year?
— Pratham Prasoon (@PrasoonPratham) February 13, 2021
Here's everything you need to get started.
\U0001f9f5\U0001f447
- 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)
To manipulate and represent data.
- Calculus
To train and optimize your machine learning model, this is very important.
> A series of videos that go over how neural networks work with approach visual, must watch.
🔗youtu.be/aircAruvnKk
> This website helps you learn statistics and probability in an intuitive way.
🔗seeing-theory.brown.edu/basic-probability/index.html
> This is 15 years old but still 100% relevant today!
Despite the fact these lectures are made for freshman college students at MIT, I found it very easy to follow👌
🔗youtube.com/playlist?list=PL49CF3715CB9EF31D
https://t.co/3H7U2HJgTd
This is a beginner-friendly introduction to:
— Pratham Prasoon (@PrasoonPratham) January 24, 2021
Linear Algebra for Machine Learning.
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> A beautiful playlist of videos which teach you linear algebra through visualisations in an easy to digest manner.
🔗youtube.com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
>You'll find a course on everything here! Khan Academy is the first place I'll go to when I want to learn something.
🔗khanacademy.org/math
> A beautiful series on calculus, makes everything seem super simple.
🔗youtube.com/watch?v=WUvTyaaNkzM&list=PL0-GT3co4r2wlh6UHTUeQsrf3mlS2lk6x
More from Pratham Prasoon
🧵 👇🏻
All the tutorials below include the basics like installation, variables etc.
I've also listed out the key highlights of each tutorial so that it is easy for you decide which one to pick.
Before going through these tutorials I would highly suggest you to go through this thread if you are a complete
Are you planning to learn Python for machine learning this year?
— Pratham (@PrasoonPratham) February 13, 2021
Here's everything you need to get started.
\U0001f9f5\U0001f447
The Full Python Course from learn with Python with Rune
key highlights
- 17 part course
- Jupyter notebooks
- Free eBook included
Duration: 8
The Python Beginner's course on FreeCodeCamp's YouTube Channel.
Key highlights
- Building a casic calculator
- Mad Libs Game
- Slightly advanced concepts like inheritance, Classes etc.
Duration: 4
🧵 👇🏻
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?
— Oliver Jumpertz (@oliverjumpertz) February 16, 2021
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.
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I'll begin with the ancient history ... and it goes way back. Because modern humans - and before that, the ancestors of humans - almost certainly originated in Ethiopia. 🇪🇹 (sub-thread):
The famous \u201cLucy\u201d, an early ancestor of modern humans (Australopithecus) that lived 3.2 million years ago, and was discovered in 1974 in Ethiopia, displayed in the national museum in Addis Ababa \U0001f1ea\U0001f1f9 pic.twitter.com/N3oWqk1SW2
— Patrick Chovanec (@prchovanec) November 9, 2018
The first likely historical reference to Ethiopia is ancient Egyptian records of trade expeditions to the "Land of Punt" in search of gold, ebony, ivory, incense, and wild animals, starting in c 2500 BC 🇪🇹
Ethiopians themselves believe that the Queen of Sheba, who visited Israel's King Solomon in the Bible (c 950 BC), came from Ethiopia (not Yemen, as others believe). Here she is meeting Solomon in a stain-glassed window in Addis Ababa's Holy Trinity Church. 🇪🇹
References to the Queen of Sheba are everywhere in Ethiopia. The national airline's frequent flier miles are even called "ShebaMiles". 🇪🇹