[program-l] Re: How much machine learning and deep learning is accessible for blind users in production?

  • From: hamidreza abroshan <hamidreza.abroshan@xxxxxxxxx>
  • To: program-l@xxxxxxxxxxxxx
  • Date: Sun, 30 Jan 2022 19:53:42 +0330

Thank you Mohammad for your great notes and Hassaku for sharing your repo
and also, everyone who participated.
I'll follow your comments.
If you introduce some basic books, courses and a beginner road map for this
subject, I'll appreciate it.
And the course that you introduced for math, if it needs some basic
background, can you recommend a more basic math tutorial also?
Because I studied in an school for blind, and my field was human
science,                                                            they
did not take math serious and now I have to study more.
Thanks.


On Sat, Jan 29, 2022 at 9:29 PM Muhammad Fayed <m10fayed@xxxxxxxxx> wrote:

Great job Hassaku.

I like your work so much and starred your repositories. 😊👍

Thank you so much,

Regards,

Mohamed E. Fayed



On 29 Jan 2022, at 5:09 PM, hassaku <hassaku.apps@xxxxxxxxx> wrote:

Hi hamidreza,

Some people have already mentioned it, but if you want to start
practicing machine learning in a casual way, you can use Google
Colaboratory.
You don't have to bother with building a troublesome environment, and
although it's not perfect, you can use it with a screen reader.

If you need graphs, the graph sonification library I'm developing might
be useful.
The following site contains the libraries I am developing, and links to
an introduction to machine learning.
If you are interested, try to access them.

https://hassaku.github.io/DS-and-ML-with-screen-reader/

It's still a work in progress. So if you have any feedback, please feel
free to let me know.
I hope this helps you.

Best regards,

hassaku
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-- 
hamidreza

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