Teaching yourself machine learning

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Teaching yourself machine learning

Rohit Chormale
Hola Pythonistas,

Hope everyone doing well !!!

I still remember the day when I started learning python to build a simple
game. Over the years, I understood the different learning styles. For Some
people, it is easy to learn via classroom training while others love to
build something for themselves, then fail and then learn. I consider myself
in later category.

Currently I am trying to teach myself machine learning. But I am facing
difficulty to connect it in real life. I would really love to know the real
life scenarios for machine-learning applications affecting individuals. How
did you guy start apart from your job? What did you hack in your early days
? Any good ideas/proper directions are welcome.

Thanks in advance.

--
Thanks & Regards,
Rohit Chormale
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Re: Teaching yourself machine learning

Noufal Ibrahim KV
On 2018-08-09 08:48, Rohit Chormale wrote:
[..]
> Currently I am trying to teach myself machine learning. But I am facing
> difficulty to connect it in real life. I would really love to know the
> real
> life scenarios for machine-learning applications affecting individuals.
> How
> did you guy start apart from your job? What did you hack in your early
> days
> ? Any good ideas/proper directions are welcome.

https://www.coursera.org/learn/machine-learning was my start since it
was a completely new area for me and I was afraid of going about it the
wrong way.
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Re: Teaching yourself machine learning

Anand Chitipothu-2
On Thu, Aug 9, 2018 at 11:35 AM Noufal Ibrahim <[hidden email]>
wrote:

> On 2018-08-09 08:48, Rohit Chormale wrote:
> [..]
> > Currently I am trying to teach myself machine learning. But I am facing
> > difficulty to connect it in real life. I would really love to know the
> > real
> > life scenarios for machine-learning applications affecting individuals.
> > How
> > did you guy start apart from your job? What did you hack in your early
> > days
> > ? Any good ideas/proper directions are welcome.
>
> https://www.coursera.org/learn/machine-learning was my start since it
> was a completely new area for me and I was afraid of going about it the
> wrong way.
>

http://learnds.com/ is another very good resource.

Anand
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Re: Teaching yourself machine learning

Prashant Gaur
You can follow https://www.udemy.com/machinelearning/ course.
It is very good course for beginners and they explained scenarios by taking
real life example too.

On Thu, Aug 9, 2018 at 11:39 AM, Anand Chitipothu <[hidden email]>
wrote:

> On Thu, Aug 9, 2018 at 11:35 AM Noufal Ibrahim <[hidden email]>
> wrote:
>
> > On 2018-08-09 08:48, Rohit Chormale wrote:
> > [..]
> > > Currently I am trying to teach myself machine learning. But I am facing
> > > difficulty to connect it in real life. I would really love to know the
> > > real
> > > life scenarios for machine-learning applications affecting individuals.
> > > How
> > > did you guy start apart from your job? What did you hack in your early
> > > days
> > > ? Any good ideas/proper directions are welcome.
> >
> > https://www.coursera.org/learn/machine-learning was my start since it
> > was a completely new area for me and I was afraid of going about it the
> > wrong way.
> >
>
> http://learnds.com/ is another very good resource.
>
> Anand
> _______________________________________________
> BangPypers mailing list
> [hidden email]
> https://mail.python.org/mailman/listinfo/bangpypers
>



--
Kind Regards

Prashant Gaur
M: +91 9717353657
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Re: Teaching yourself machine learning

Avneesh Chadha
In reply to this post by Anand Chitipothu-2
I am a python developer with on/off interest in AI. I find training AI to
play games is really interesting(and gives me a lot of insights to the
whole process).

You can check it Open AI Gym here <https://gym.openai.com/> (they provide
vector observable & vector controlled environments which you can train
neural nets on).

There's a very nice video series on how to get started with AI gym here
<https://www.youtube.com/watch?v=3zeg7H6cAJw>.

Warm Regards,
Avneesh Chadha
Phone:+917838478116
GitHub <https://github.com/avneesh91>|LinkedIn
<https://www.linkedin.com/in/avneesh-chadha-0bb6b7aa/>|Blog
<https://technokeeda.com/>

NOTE: The above mentioned video uses tensor flow , however I find it a
little difficult to follow. I wrote a tutorial/blog post using SciKit
Learn. You can find it here <https://github.com/avneesh91/cartpole-player>

On Thu, Aug 9, 2018 at 11:43 AM Anand Chitipothu <[hidden email]>
wrote:

> On Thu, Aug 9, 2018 at 11:35 AM Noufal Ibrahim <[hidden email]>
> wrote:
>
> > On 2018-08-09 08:48, Rohit Chormale wrote:
> > [..]
> > > Currently I am trying to teach myself machine learning. But I am facing
> > > difficulty to connect it in real life. I would really love to know the
> > > real
> > > life scenarios for machine-learning applications affecting individuals.
> > > How
> > > did you guy start apart from your job? What did you hack in your early
> > > days
> > > ? Any good ideas/proper directions are welcome.
> >
> > https://www.coursera.org/learn/machine-learning was my start since it
> > was a completely new area for me and I was afraid of going about it the
> > wrong way.
> >
>
> http://learnds.com/ is another very good resource.
>
> Anand
> _______________________________________________
> BangPypers mailing list
> [hidden email]
> https://mail.python.org/mailman/listinfo/bangpypers
>
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Re: Teaching yourself machine learning

Arunram A
In reply to this post by Prashant Gaur
John Hopkins University's Data Science Specialisation:
https://www.coursera.org/specializations/jhu-data-science (this is in R)
Prof. Andrew's course uses Octave.

TensorFlow introduction: https://youtu.be/u4alGiomYP4 (this is part 1, see
part 2 as well)



On Thu 9 Aug, 2018, 12:03 PM Prashant Gaur, <[hidden email]>
wrote:

> You can follow https://www.udemy.com/machinelearning/ course.
> It is very good course for beginners and they explained scenarios by taking
> real life example too.
>
> On Thu, Aug 9, 2018 at 11:39 AM, Anand Chitipothu <[hidden email]>
> wrote:
>
> > On Thu, Aug 9, 2018 at 11:35 AM Noufal Ibrahim <[hidden email]>
> > wrote:
> >
> > > On 2018-08-09 08:48, Rohit Chormale wrote:
> > > [..]
> > > > Currently I am trying to teach myself machine learning. But I am
> facing
> > > > difficulty to connect it in real life. I would really love to know
> the
> > > > real
> > > > life scenarios for machine-learning applications affecting
> individuals.
> > > > How
> > > > did you guy start apart from your job? What did you hack in your
> early
> > > > days
> > > > ? Any good ideas/proper directions are welcome.
> > >
> > > https://www.coursera.org/learn/machine-learning was my start since it
> > > was a completely new area for me and I was afraid of going about it the
> > > wrong way.
> > >
> >
> > http://learnds.com/ is another very good resource.
> >
> > Anand
> > _______________________________________________
> > BangPypers mailing list
> > [hidden email]
> > https://mail.python.org/mailman/listinfo/bangpypers
> >
>
>
>
> --
> Kind Regards
>
> Prashant Gaur
> M: +91 9717353657
> _______________________________________________
> BangPypers mailing list
> [hidden email]
> https://mail.python.org/mailman/listinfo/bangpypers
>
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Re: Teaching yourself machine learning

Rohit Chormale
Thanks everyone for kind replies.

On Thu, Aug 9, 2018 at 12:34 PM Arunram A <[hidden email]> wrote:

> John Hopkins University's Data Science Specialisation:
> https://www.coursera.org/specializations/jhu-data-science (this is in R)
> Prof. Andrew's course uses Octave.
>
> TensorFlow introduction: https://youtu.be/u4alGiomYP4 (this is part 1, see
> part 2 as well)
>
>
>
> On Thu 9 Aug, 2018, 12:03 PM Prashant Gaur, <[hidden email]>
> wrote:
>
> > You can follow https://www.udemy.com/machinelearning/ course.
> > It is very good course for beginners and they explained scenarios by
> taking
> > real life example too.
> >
> > On Thu, Aug 9, 2018 at 11:39 AM, Anand Chitipothu <[hidden email]>
> > wrote:
> >
> > > On Thu, Aug 9, 2018 at 11:35 AM Noufal Ibrahim <[hidden email]
> >
> > > wrote:
> > >
> > > > On 2018-08-09 08:48, Rohit Chormale wrote:
> > > > [..]
> > > > > Currently I am trying to teach myself machine learning. But I am
> > facing
> > > > > difficulty to connect it in real life. I would really love to know
> > the
> > > > > real
> > > > > life scenarios for machine-learning applications affecting
> > individuals.
> > > > > How
> > > > > did you guy start apart from your job? What did you hack in your
> > early
> > > > > days
> > > > > ? Any good ideas/proper directions are welcome.
> > > >
> > > > https://www.coursera.org/learn/machine-learning was my start since
> it
> > > > was a completely new area for me and I was afraid of going about it
> the
> > > > wrong way.
> > > >
> > >
> > > http://learnds.com/ is another very good resource.
> > >
> > > Anand
> > > _______________________________________________
> > > BangPypers mailing list
> > > [hidden email]
> > > https://mail.python.org/mailman/listinfo/bangpypers
> > >
> >
> >
> >
> > --
> > Kind Regards
> >
> > Prashant Gaur
> > M: +91 9717353657
> > _______________________________________________
> > BangPypers mailing list
> > [hidden email]
> > https://mail.python.org/mailman/listinfo/bangpypers
> >
> _______________________________________________
> BangPypers mailing list
> [hidden email]
> https://mail.python.org/mailman/listinfo/bangpypers
>


--
Thanks & Regards,
Rohit Chormale
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Re: Teaching yourself machine learning

Noufal Ibrahim KV
On Thu, Aug 09 2018, Rohit Chormale wrote:

> Thanks everyone for kind replies.

[...]

Much of ML is applied statistics. I recently refreshed some of my high
school statistics using http://greenteapress.com/thinkstats/ and
https://greenteapress.com/wp/think-bayes/ and found it fun. These might
help too. This https://www.edx.org/course/introduction-to-probability-0
also came highly recommended.


--
Cordially,
Noufal
http://nibrahim.net.in
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Re: Teaching yourself machine learning

Rohit Chormale
Thanks, I'll check them out.

On Thu, Aug 9, 2018, 11:59 PM Noufal Ibrahim KV <[hidden email]>
wrote:

> On Thu, Aug 09 2018, Rohit Chormale wrote:
>
> > Thanks everyone for kind replies.
>
> [...]
>
> Much of ML is applied statistics. I recently refreshed some of my high
> school statistics using http://greenteapress.com/thinkstats/ and
> https://greenteapress.com/wp/think-bayes/ and found it fun. These might
> help too. This https://www.edx.org/course/introduction-to-probability-0
> also came highly recommended.
>
>
> --
> Cordially,
> Noufal
> http://nibrahim.net.in
>
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