Further to the feedback you requested , I forgot to mention another point , that with the insight you will gain after three weeks spent on that course, You will be on par with the aformentioned minority of engineers who are helping their companies "make tons of money" a quote from Professor Andrew Ng.
You will no longer be part of the majority of engineers who are spending six months on analytical projects when from day one YOU can see that wasn't going to work. Another quote from professor Andrew Ng. If you value the idea of joining the minority engineers "making tons of money for companies" then the same three weeks spent on that course will yield greater value comparatively spent on writing Apache spark examples of the type you are currently engaged in. I have gone past week 3 😎🤐so I have the insight. It is against my personal values to use a product which is given on a trial period basis , so I use Free Octave , a project started 32 years ago. You can profit by MATLAB 's investment. You can watch MATLAB videos on how use and apply what you have learnt to Octave because the syntax is exactly the same. Then you can parallelise your octave app on Apache Spark. You can use Apache spark on a standalone whilst you prototype then with one line of code, change the parallelism to a distributed parallelism across cluster(s) of PCs. On Fri, 10 Jul 2020, 04:50 Anwar AliKhan, <anwaralikhan...@gmail.com> wrote: > My opinion would be go here. > > https://www.coursera.org/courses?query=machine%20learning%20andrew%20ng > > Machine learning by Andrew Ng. > > After three weeks you will have more valuable skills than most engineers > in silicon valley in the USA. I am past week 3. 😎🤐 > > He does go 90 miles per hour. > I wish somebody had pointed me there as the starting point. > > > > On Thu, 25 Jun 2020, 18:58 neeraj bhadani, <bhadani.neeraj...@gmail.com> > wrote: > >> Hi Team, >> I would like to share with the community that my blog on "Apache >> Spark Window Functions" got published. PFB link if anyone interested. >> >> Link: >> https://medium.com/expedia-group-tech/deep-dive-into-apache-spark-window-functions-7b4e39ad3c86 >> >> Please share your thoughts and feedback. >> >> Regards, >> Neeraj >> >