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Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy Actionable Solutions in Minutes

Roger Barga, Wee Hyong Tok, Valentine Fontama




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 | #284221 in Books |  2014-11-21 |  2014-11-21 | Original language:English | PDF # 1 |  9.00 x.43 x6.00l,.62 | File type: PDF | 188 pages

||3 of 3 people found the following review helpful.| The book holds your hand through creating some ML workflows but lacks a good description of WHY you are being instructed to put|By koppinjo|Lots of repeated sentences throughout the book, information/sources are outdated which means if you are trying to code along with it, it will not always work. The book holds your hand through creating some ML workflows but lacks a good des|About the Author|Valentine Fontama is a Principal Data Scientist in the Data and Decision Sciences Group (DDSG) at Microsoft, where he leads external consulting engagements that deliver world-class Advanced Analytics solutions to Microsoft’s customers. Val

Data Science and Machine Learning are in high demand, as customers are increasingly looking for ways to glean insights from all their data. More customers now realize that Business Intelligence is not enough as the volume, speed and complexity of data now defy traditional analytics tools. While Business Intelligence addresses descriptive and diagnostic analysis, Data Science unlocks new opportunities through predictive and prescriptive analysis.

The purpose of ...

You easily download any file type for your gadget.Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy Actionable Solutions in Minutes   |  Roger Barga, Wee Hyong Tok, Valentine Fontama. Just read it with an open mind because none of us really know.

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