two of my faves: https://www.amazon.com/Advanced-Analytics-Spark-Patterns-Learning/dp/1491912766/ (Cloudera authors)
https://www.amazon.com/Machine-Learning-Spark-Powerful-Algorithms/dp/1783288515/ (IBM author) (most) authors are Spark Committers. while not totally up to date w/ ML pipelines and such, these 2 books give you relevant use cases and make you think about ML in terms of distributed systems. classics. On Sun, Jun 12, 2016 at 7:57 AM, Deepak Goel <deic...@gmail.com> wrote: > Thank You...Please see inline.. > > > On Sun, Jun 12, 2016 at 3:39 PM, <mylistt...@gmail.com> wrote: > >> Machine learning - I would suggest that you pick up a fine book that >> explains machine learning. That's the way I went about - pick up each type >> of machine learning concept - say Linear regression then understand the >> why/when/how etc and infer results etc. >> >> Then apply the learning to a small data set using python or R or scala >> without Spark. This is to familiarize the learning. >> >> > Then run the same with MLlib and see it with a big data set on Spark. I >> would call this consolidation. >> > *****Deepak**** > > Sorry for the confusion in my question. However, I was more interested in > getting hold of a book which explains how I can use MLlib and Spark for > machine learning problems. > > *****Deepak**** > >> >> Few things to remember - all Machine learning algorithms are not >> available On spark. There is a list of machine learning supported in spark. >> Kindly look at that. Also look at how to integrate mahout / h20 with spark >> and see how you can run the machine learning stuff supported by mahout with >> spark. >> >> And then your journey begins :-). >> >> Regards, >> Harmeet >> >> >> >> >> On Jun 12, 2016, at 0:31, Mich Talebzadeh <mich.talebza...@gmail.com> >> wrote: >> >> yes absolutely Ted. >> >> Thanks for highlighting it >> >> >> >> 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 19:00, Ted Yu <yuzhih...@gmail.com> wrote: >> >>> 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 >>>>>> " >>>>>> >>>>> >>>>> >>>> >>> >> > -- *Chris Fregly* Research Scientist @ PipelineIO San Francisco, CA http://pipeline.io
