what does bob really want? recommenders in the cloud
TRANSCRIPT
What does Bob really want? Building recommendation systems based on cloud technologies
Olivia Klose | Technical Evangelist, Microsoft
NoSQL Usergroup Cologne, July 1st 2015
13.06.20
15
SQLSaturday Rheinland
2015
The challenge in automation is
enabling computers to interpret
endless variation in handwriting.
The challenge in automation is
enabling computers to interpret
endless variation in handwriting.
1. Too complex: When you can’t code it.
2. Too much: When you can’t scale it.
3. Too specialised: When you have to dapt/personalise.
4. Autonomous: When you can’t track it.
VALUE
DIFFICULTY
What happened?
Why did it happen?
What will happen?
How can we make it happen?
Traditional BI Advanced Analytics
Challenges
Skilled
Data Scientists Infrastructure
Time Scalable
?
[green]
[sour]
[citrus]
[green]
[sweet]
Azure Machine Learning
Make machine learning accessible to every
enterprise, data scientist, developer,
information worker, consumer, and device
anywhere in the world.
ML
Studio
M
HDInsight
SQL Server VMSQL DB
Blobs & Tabellen
Cloud
Desktopdateien
Exceltabelle
Andere…
Local
IDE for ML Web Service
MonetiseStorage Account
http://aka.ms/AzureML-Market
http://aka.ms/MLCheatSheet
In limited preview
SELECT text, sentiment(text)FROM myStream
http://aka.ms/stream-ml
http://aka.ms/MLbook
aka.ms/azurenow
Machine Learning Series
http://aka.ms/MLserie
http://aka.ms/AzureML-resources
Machine Learning Cheat Sheet
http://aka.ms/MLCheatSheet
Machine Learning Studio
http://studio.azureml.net
Kostenloses E-Book
http://aka.ms/MLbook
oliviaklose.com
aka.ms/MLblog
@oliviaklose
© 2015 Microsoft Corporation.
All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks in the U.S. and/or other countries.
Olivia Klose
Technical Evangelist
Microsoft Deutschland GmbH
E-Mail: [email protected]
Blog: oliviaklose.com
Twitter: @oliviaklose