[BangPypers] Teaching yourself machine learning

[Rohit Chormale]

Thanks everyone for kind replies.

On Thu, Aug 9, 2018 at 12:34 PM Arunram A <arunram.atma at gmail.com> 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, <91prashantgaur at gmail.com>
> 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 <anandology at gmail.com>
> > wrote:
> >
> > > On Thu, Aug 9, 2018 at 11:35 AM Noufal Ibrahim <noufal at nibrahim.net.in
> >
> > > 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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> > >
> >
> >
> >
> > --
> > Kind Regards
> >
> > Prashant Gaur
> > M: +91 9717353657
> > _______________________________________________
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> > BangPypers at python.org
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> >
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-- 
Thanks & Regards,
Rohit Chormale