Democratizing Artificial Intelligence or Machine Learning for Elves 80 LvL

1. Democratizing Artificial Intelligence or
Machine Learning for Elves 80 LvL
#GlobalAzure
Dmitry Petukhov,
ML/DS Preacher,
Machine Intelligence Researcher @ OpenWay &&
Coffee Addicted

2. Web
Social
Network
s
Science
Healthcare
Finance
Telecom
Retail
Logistic
Security
Electronics
Proof: https://www.kaggle.com/wiki/DataScienceUseCases
Data Science Applications Data Science People

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. #OpenSource #Hadoop
#BI
#DeepLearning
#Realtime
#R
#Python
#Azure
#Bots
#StreamingProcessing
#NoSQL
#Visualization
#ApacheSpark
#BigData

6. Twitter Sentiment Analysis
with Azure Machine Learning
TD-IDF, short for term frequency–inverse document frequency, is a
numerical statistic that is intended to reflect how important a word is to a
document in a collection or corpus
#Word2Vec
#LDA
#NLP
Topic Model
N-gram
#GlobalAzure

7. What?
Twitter Sentiment Analysis in real-time
Why?
Банк Инструменты атаки Дата начала атаки Информационный повод
Сбербанк
Массовая смс-рассылка, публикации в блогах, соцсетях,
СМИ
декабрь 2014
Введение санкций США и ЕС в отношении
государственных банков РФ
Банки Урала Массовая смс-рассылка, публикации в блогах, листовки сентябрь 2014 Отзыв лицензии у «Банк24.ру»
Возрождение Массовая смс-рассылка октябрь 2013 Отзыв лицензии у банка «Пушкино»
Банки Татарстана
Массовая смс-рассылка, рассылка в мессенджерах,
публикации в блогах, соцсетях и СМИ
декабрь 2016
Финансовые проблемы банка «Пересвет» и
группы Татфондбанка
Source: FutureBanking…a total of more than 15 cases since 2013
Test It!
#GlobalAzure

8. Near Real-time Predictive Pipeline
Batch-mode Analytics Pipeline
Twitter Semantic Analysis Architecture
REST API
h(θ0, θn)
New Tweets Processing
Azure Workers
New Tweets Service Bus
Azure Event Hub
Tweets Stream
Azure Stream Analytic
Visualize result
Power BI
New Tweets
Twitter Streaming API
Semantic prediction API
Azure ML Web Services
Store Tweets
Azure Table
Data Sources Ingest Prepare ConsumeStream/Analyze
1 2 3
3
4
5
6
7
8
Calculate ML-models
Azure Machine Learning
Real-time processing Batch processingData flow
Sentiment140 Dataset
Azure Storage
0

9. 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 for ML
ML Web Services
ML-model publication
Azure Marketplace
Monetize your model
Data
Model

10. References:
1. Source code on GitHub
2. Twitter Sentiment Experiment on Cortana Intelligence Gallery
3. Free access to Azure. How to?
4. Microsoft Data Amp 2017
Advanced references:
1. Microsoft Machine Learning Blog
2. Azure ML documentation
3. Free MOOCs on MVA and EdX
4. Microsoft Azure Russia Group in Facebook

11. © 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.
Data Science must win!

12. Q&A
Now or later (use contacts below)
Ping me
Habr: @codezombie
All contacts: http://0xCode.in/author
Download presentation from
http://0xcode.in/2017/global-azure-bootcamp or