yes absolutely Ted.

Thanks for highlighting it



Dr Mich Talebzadeh



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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
>>
>>
>>
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>>
>>
>>
>> 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
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>>>> deic...@gmail.com
>>>>
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>>>>
>>>
>>>
>>
>

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