P R.E S E N T S              .

Effective Amazon Machine Learning

DATE: 2019-07-18  SIZE: 9.47 MB    DISKS: 1x 10MB     PAGES: n/a

PUBLISHER: n/a                               GENRE:

AUTHOR: Alex Perrier

FORMAT: EPUB  PROTECTION: DRM  EDITION: n/a

URL: https://is.gd/SL2Yis

LANGUAGE: English   ISBN: 9781785883231

: Learn to leverage Amazon's powerful platform for your predictive analytics :
: needsAbout This Book* Create great machine learning models that combine th :
: power of algorithms with interactive tools without worrying about the      :
: underlying complexity* Learn the What's next? of machine learning-machine  :
: learning on the cloud-with this unique guide* Create web services that     :
: allow you to perform affordable and fast machine learning on the cloudWho  :
: This Book Is ForThis book is intended for data scientists and managers of  :
: predictive analytics projects; it will teach beginner- to advanced-level   :
: machine learning practitioners how to leverage Amazon Machine Learning and :
: complement their existing Data Science toolbox.No substantive prior        :
: knowledge of Machine Learning, Data Science, statistics, or coding is      :
: required.What You Will Learn* Learn how to use the Amazon Machine Learning :
: service from scratch for predictive analytics* Gain hands-on experience in :
: the key Data Science concepts* Solve classic regression and classification :
: problems* Run projects programmatically via the command line and the pytho :
: SDK* Leverage the Amazon Web Service ecosystem to access extended data     :
: sources* Implement streaming and advanced projectsIn DetailPredictive      :
: Analytics is a complex domain requiring coding skills, an understanding of :
: the mathematical concepts underlying Machine Learning algorithms, and the  :
: ability to create compelling data visualizations. Following AWS simplifyin :
: Machine learning, this book will help you bring predictive analytics       :
: projects to fruition in three easy steps: data preparation, model tuning,  :
: and model selection.This book will introduce you to the Amazon Machine     :
: Learning platform and will implement core Data Science concepts such as    :
: classification, regression, regularization, overfitting, model selection,  :
: and evaluation. Furthermore, you will learn to leverage the Amazon Web     :
: Service ecosystem for extended access to data sources; implement real- tim :
: predictions; and run Amazon Machine Learning projects via the command line :
: and the python SDK.Towards the end of the book, you will also learn to     :
: apply these services to other problems such as text mining, and to more    :
: complex datasets                                                           :

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