Azure Machine Learning

Azure Machine Learning

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  Machine Learning withMicrosoft Azure Dmitry Petukhov, ML/DS Preacher, Coffee Addicted && Machine Intelligence Researcher @ OpenWay
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  Storage Resource Management ML Framework Execution Engine Local OS LocalDisc RRuntime YetAnotherRuntime ML packages HDFS YARN MapReduce Mahout HDFS / S3 YARN / Apache Mesos Apache Spark MLlib HDFS / S3 YARN / Apache Mesos PySpark / SparkR Apache Spark Local PC Hybrid Model Cluster (on-premises/on-demand) Low HighCost of deployment/ownership Distributed FS Dark Magic… ML as a Service DS Tools Infrastructure for Data Scientists ML Packages
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  ML runtime asa Service • Feb 2015: Azure ML • Apr 2015: Amazon ML • Oct 2015: Google Cloud ML Engine Deep Learning algorithms in Open Source • Dec 2015: The Microsoft Cognitive Toolkit (CNTK) • Nov 2015: Microsoft Distributed Machine Learning Toolkit • Nov 2015: TensorFlow (Google) • May 2016: Amazon DSSTNE Deep Learning models as a Services • Microsoft Cognitive Services • Amazon Rekognition • Google APIs: Natural Language, Speech API, Translation API, etc. GPU on demand • Sep 2016: private preview in Azure • Oct 2017: Amazon update its GPU-instances • March 2017: Google GPU features 2015 2016 2017 Machine Learning Tools Evolution in Cloud
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  Source: https://blogs.technet.microsoft.com/
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  Data Azure Machine Learning Consumers Cloud storage Businessproblem Modeling Business valueDeployment Model REST API Manage Local storage REST API Reference: Microsoft Data Amp 2017 ML Studio Web IDE + ML runtime ML Web Services ML-model publication Azure Marketplace Cortana Gallery Data Model
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  Bitcoin Secret Demo library(Quandl) library(dplyr) library(forecast) dt<- Quandl("BCHARTS/BITBAYUSD", api_key = ****** ) %>% select(Date, Close) dt.train <- dt %>% filter(Date < max(Date) - months(2)) dt.test <- dt %>% filter(Date > max(dt.train$Date)) timeseries <- ts(dt.train$Close, frequency = 1) model <- ets(timeseries)
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  Restrictions Legislative Restrictions International &local Azure Platform Limits Max storage volume per account, etc. Azure ML Service Limits Black box No debug No Scala, or C++, or C# No your own “right” algorithms No Deep Learning See also Service Tiers Limitations Azure Machine Learning: Limits
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  © 2017, DmitryPetukhov. CC BY-SA 4.0 license. Microsoft and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. Thank you!
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  Q&A Now or later(use contacts below) Ping me Habr: @codezombie All contacts: http://0xCode.in/author