Azure Machine Learning

1. Machine Learning with Microsoft Azure
Dmitry Petukhov,
ML/DS Preacher, Coffee Addicted &&
Machine Intelligence Researcher @ OpenWay

2. Storage
Resource
Management
ML Framework
Execution
Engine
Local OS
Local Disc
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

3. ML runtime as a 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

4. Source: https://blogs.technet.microsoft.com/

5. Data
Azure
Machine Learning
Consumers
Cloud storage
Business problem 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

6. 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)

7. 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

8. © 2017, Dmitry Petukhov. 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!

9. Q&A
Now or later (use contacts below)
Ping me
Habr: @codezombie
All contacts: http://0xCode.in/author