I made this thread so that your machine learning journey becomes just a little bit easier.
(2 / 11)
Are you planning to learning machine learning this year?
These are the Python frameworks you need to learn as an absolute beginner.
🧵👇
I made this thread so that your machine learning journey becomes just a little bit easier.
(2 / 11)
Why?
Because Python is the most common path into machine learning.
( If you have experience with any other language then learning Python will not be difficult at all. )
(3 / 11)
- Pandas
- Numpy
- Matplotlib
- TensorFlow
- PyTorch
- Keras
- Scikit Learn
Let's see what they do.
(4 / 11)
The cool thing about Pandas is that it actually doesn't change the original data...
(5 / 11
We use Numpy in order to change the shape of the data we just pulled using Pandas, the arrays are converted to special numpy arrays which are much faster than Python's default ones.
(6 / 11)
These are the frameworks that you will have to use extensively throughout your machine learning journey.
(7 / 11)
It depends on personal preference.
(8 / 11)
More from Pratham Prasoon
More from Machine learning
This is a Twitter series on #FoundationsOfML.
❓ Today, I want to start discussing the different types of Machine Learning flavors we can find.
This is a very high-level overview. In later threads, we'll dive deeper into each paradigm... 👇🧵
Last time we talked about how Machine Learning works.
Basically, it's about having some source of experience E for solving a given task T, that allows us to find a program P which is (hopefully) optimal w.r.t. some metric
According to the nature of that experience, we can define different formulations, or flavors, of the learning process.
A useful distinction is whether we have an explicit goal or desired output, which gives rise to the definitions of 1️⃣ Supervised and 2️⃣ Unsupervised Learning 👇
1️⃣ Supervised Learning
In this formulation, the experience E is a collection of input/output pairs, and the task T is defined as a function that produces the right output for any given input.
👉 The underlying assumption is that there is some correlation (or, in general, a computable relation) between the structure of an input and its corresponding output and that it is possible to infer that function or mapping from a sufficiently large number of examples.
❓ Today, I want to start discussing the different types of Machine Learning flavors we can find.
This is a very high-level overview. In later threads, we'll dive deeper into each paradigm... 👇🧵
Last time we talked about how Machine Learning works.
Basically, it's about having some source of experience E for solving a given task T, that allows us to find a program P which is (hopefully) optimal w.r.t. some metric
I'm starting a Twitter series on #FoundationsOfML. Today, I want to answer this simple question.
— Alejandro Piad Morffis (@AlejandroPiad) January 12, 2021
\u2753 What is Machine Learning?
This is my preferred way of explaining it... \U0001f447\U0001f9f5
According to the nature of that experience, we can define different formulations, or flavors, of the learning process.
A useful distinction is whether we have an explicit goal or desired output, which gives rise to the definitions of 1️⃣ Supervised and 2️⃣ Unsupervised Learning 👇
1️⃣ Supervised Learning
In this formulation, the experience E is a collection of input/output pairs, and the task T is defined as a function that produces the right output for any given input.
👉 The underlying assumption is that there is some correlation (or, in general, a computable relation) between the structure of an input and its corresponding output and that it is possible to infer that function or mapping from a sufficiently large number of examples.
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Funny, before the election I recall lefties muttering the caravan must have been a Trump setup because it made the open borders crowd look so bad. Why would the pro-migrant crowd engineer a crisis that played into Trump's hands? THIS is why. THESE are the "optics" they wanted.
This media manipulation effort was inspired by the success of the "kids in cages" freakout, a 100% Stalinist propaganda drive that required people to forget about Obama putting migrant children in cells. It worked, so now they want pics of Trump "gassing children on the border."
There's a heavy air of Pallywood around the whole thing as well. If the Palestinians can stage huge theatrical performances of victimhood with the willing cooperation of Western media, why shouldn't the migrant caravan organizers expect the same?
It's business as usual for Anarchy, Inc. - the worldwide shredding of national sovereignty to increase the power of transnational organizations and left-wing ideology. Many in the media are true believers. Others just cannot resist the narrative of "change" and "social justice."
The product sold by Anarchy, Inc. is victimhood. It always boils down to the same formula: once the existing order can be painted as oppressors and children as their victims, chaos wins and order loses. Look at the lefties shrieking in unison about "Trump gassing children" today.
Funny there are those who think these migrant caravans were a FANTASTIC idea that's going to take the immigration issue away from you.
— Brian Cates (@drawandstrike) November 26, 2018
Like several weeks watching a rampaging horde storm the fences & throw rocks at our border patrol agents & getting gassed = great optics!
This media manipulation effort was inspired by the success of the "kids in cages" freakout, a 100% Stalinist propaganda drive that required people to forget about Obama putting migrant children in cells. It worked, so now they want pics of Trump "gassing children on the border."
There's a heavy air of Pallywood around the whole thing as well. If the Palestinians can stage huge theatrical performances of victimhood with the willing cooperation of Western media, why shouldn't the migrant caravan organizers expect the same?
It's business as usual for Anarchy, Inc. - the worldwide shredding of national sovereignty to increase the power of transnational organizations and left-wing ideology. Many in the media are true believers. Others just cannot resist the narrative of "change" and "social justice."
The product sold by Anarchy, Inc. is victimhood. It always boils down to the same formula: once the existing order can be painted as oppressors and children as their victims, chaos wins and order loses. Look at the lefties shrieking in unison about "Trump gassing children" today.
