Are you planning to learning machine learning this year?

These are the Python frameworks you need to learn as an absolute beginner.

🧵👇

It can be overwhelming seeing all the machine learning frameworks at once and not even knowing what they do.

I made this thread so that your machine learning journey becomes just a little bit easier.

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This thread will only focus on Python frameworks.

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. )

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Here's the entire list:

- Pandas
- Numpy
- Matplotlib
- TensorFlow
- PyTorch
- Keras
- Scikit Learn

Let's see what they do.

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You'll have to interact with csv files or databases on a regular basis to access data in machine learning, pandas helps you do just that.

The cool thing about Pandas is that it actually doesn't change the original data...

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.. and instead creates a copy of the csv or database as a python array in the RAM.

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.

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Matplotlib is used to visualize data, bar graphs, line plots, pie charts... you get the point.

These are the frameworks that you will have to use extensively throughout your machine learning journey.

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Now comes the tougher part, TensorFlow, Pytorch, Keras or Scikit learn? Or all? or neither?....

It depends on personal preference.

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TensorFlow, Keras and Pytorch generally do the same thing in different syntax.

SciKit learn has a bunch of scientific tools which you might need here and there.

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Here's what I suggest, try making a convolutionary neural network for the MNIST dataset with all of these and then decide which one is right for you.

I personally use TensorFlow + ScikitLearn, it might not work for you.

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More from Pratham Prasoon

More from Machine learning

10 machine learning YouTube videos.

On libraries, algorithms, and tools.

(If you want to start with machine learning, having a comprehensive set of hands-on tutorials you can always refer to is fundamental.)

🧵👇

1⃣ Notebooks are a fantastic way to code, experiment, and communicate your results.

Take a look at @CoreyMSchafer's fantastic 30-minute tutorial on Jupyter Notebooks.

https://t.co/HqE9yt8TkB


2⃣ The Pandas library is the gold-standard to manipulate structured data.

Check out @joejamesusa's "Pandas Tutorial. Intro to DataFrames."

https://t.co/aOLh0dcGF5


3⃣ Data visualization is key for anyone practicing machine learning.

Check out @blondiebytes's "Learn Matplotlib in 6 minutes" tutorial.

https://t.co/QxjsODI1HB


4⃣ Another trendy data visualization library is Seaborn.

@NewThinkTank put together "Seaborn Tutorial 2020," which I highly recommend.

https://t.co/eAU5NBucbm
Thanks for this incredibly helpful analysis @dgurdasani1

Two questions. 1/ Does this summarise the AZ published data :
The plan is to extend the time interval for all age groups despite it being largely untested on the over 55yrs, although the full data is not yet published


Do we have the actual numbers of over 55yr olds given a 2nd dose at c12 weeks and the accompanying efficacy data?

Not to mention the efficacy data of the full first dose over that same period?

I’d quite like to know whether I am to be a guinea pig & the ongoing risks to manage

You attached photos of excerpts from a paper. Could you attach the link?

Re Pfizer. As I understand it the most efficacious interval for dosing was investigated at the start of the trial.


Here’s the link to the

I’ve got to say that this way of making and announcing decisions is not inspiring confidence in me and I am very pro vaccination as a matter of principle, not least because my brother caught polio before vaccinations available.

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हमारे ऋषि मुनि विद्वान थे, वे जो बात करते या कहते थे उसके पीछे कोई न कोई वैज्ञानिक कारण छुपा होता था।

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इमारत, पर्वत या अट्टालिकाओं पर ज़रूर देखा होगा। देखा है न?

ज़रा सोचिये पीपल या बरगद की बीज कैसे पहुंचे होंगे वहाँ तक? इनके बीज इतने हल्के भी नहीं होते के हवा उन्हें उड़ाके ले जा सके।