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, <91prashantg...@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 <anandol...@gmail.com> > wrote: > > > On Thu, Aug 9, 2018 at 11:35 AM Noufal Ibrahim <nou...@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 > > _______________________________________________ > > BangPypers mailing list > > BangPypers@python.org > > https://mail.python.org/mailman/listinfo/bangpypers > > > > > > -- > Kind Regards > > Prashant Gaur > M: +91 9717353657 > _______________________________________________ > BangPypers mailing list > BangPypers@python.org > https://mail.python.org/mailman/listinfo/bangpypers > _______________________________________________ BangPypers mailing list BangPypers@python.org https://mail.python.org/mailman/listinfo/bangpypers
