Another source is the presentation on various ocnferences. e.g. http://www.slideshare.net/databricks/apache-spark-mllib-20-preview-data-science-and-production
FYI On Sat, Jun 11, 2016 at 8:47 AM, Mich Talebzadeh <mich.talebza...@gmail.com> wrote: > Interesting. > > The pace of development in this field is such that practically every > single book in Big Data landscape gets out of data before the ink dries on > it :) > > I concur that they serve as good reference for starters but in my opinion > the best way to learn is to start from on-line docs (and these are pretty > respectful when it comes to Spark) and progress from there. > > If you have a certain problem then put to this group and I am sure someone > somewhere in this forum has come across it. Also most of these books' > authors actively contribute to this mailing list. > > > HTH > > > Dr Mich Talebzadeh > > > > LinkedIn * > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw > <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* > > > > http://talebzadehmich.wordpress.com > > > > On 11 June 2016 at 16:10, Ted Yu <yuzhih...@gmail.com> wrote: > >> >> https://www.amazon.com/Machine-Learning-Spark-Powerful-Algorithms/dp/1783288515/ref=sr_1_1?ie=UTF8&qid=1465657706&sr=8-1&keywords=spark+mllib >> >> >> https://www.amazon.com/Spark-Practical-Machine-Learning-Chinese/dp/7302420424/ref=sr_1_3?ie=UTF8&qid=1465657706&sr=8-3&keywords=spark+mllib >> >> >> https://www.amazon.com/Advanced-Analytics-Spark-Patterns-Learning/dp/1491912766/ref=sr_1_2?ie=UTF8&qid=1465657706&sr=8-2&keywords=spark+mllib >> >> >> On Sat, Jun 11, 2016 at 8:04 AM, Deepak Goel <deic...@gmail.com> wrote: >> >>> >>> Hey >>> >>> Namaskara~Nalama~Guten Tag~Bonjour >>> >>> I am a newbie to Machine Learning (MLIB and other libraries on Spark) >>> >>> Which would be the best book to learn up? >>> >>> Thanks >>> Deepak >>> -- >>> Keigu >>> >>> Deepak >>> 73500 12833 >>> www.simtree.net, dee...@simtree.net >>> deic...@gmail.com >>> >>> LinkedIn: www.linkedin.com/in/deicool >>> Skype: thumsupdeicool >>> Google talk: deicool >>> Blog: http://loveandfearless.wordpress.com >>> Facebook: http://www.facebook.com/deicool >>> >>> "Contribute to the world, environment and more : >>> http://www.gridrepublic.org >>> " >>> >> >> >
