What is Machine Learning as a Service? Which do I choose? How can I use it in my application? Machine learning has long been a somewhat academic discipline, its practitioners highly specialized. But with the advent of a new class of commoditized machine learning platforms, MLaaS, Machine Learning as a Service, is now available to all developers. MLaaS can be treated as a black box, giving developers the opportunity to dive into machine learning head first. Supply your own data, build a model using tools supported by your chosen MLaaS platform and train it using the well tested algorithms offered. When ready to dig deeper into the world of machine learning, most MLaaS platforms enables us to develop our own algorithms even better tailored to our data and models. This talk will show you the state of the art of MLaaS, what the different vendors offer, and where you best can put it to use in your applications. These are the slides from my 2016 JavaZone lightning talk. Video found here: https://vimeo.com/181918408

1. MlaaS - maChiNe LeaRniNg For
thE rEst of us
Anders Breivik
abr@knowit.no
twitter.com/anders_b
Fredrikstad 2016

2. MlaaS - maChiNe LeaRniNg For thE rEst of us

3. MlaaS - maChiNe LeaRniNg For thE rEst of us
*aas

4. MlaaS - maChiNe LeaRniNg For thE rEst of us
mlaAs
MacHinE lEarNinG aS a seRviCe

5. MlaaS - maChiNe LeaRniNg For thE rEst of us

6. MlaaS - maChiNe LeaRniNg For thE rEst of us

7. MlaaS - maChiNe LeaRniNg For thE rEst of us
• White and black box
• Custom Python and R scripts
• Azure Storage and Hadoop
AZurE MAchIne leArnNg

8. MlaaS - maChiNe LeaRniNg For thE rEst of us
• Black box
• Classification and regression
• Incremental data upload
GOogLe PreDicTioN aPi

9. MlaaS - maChiNe LeaRniNg For thE rEst of us
• Black box, automated solution
• Scalability
• Data in RDS, S3, Reshift
AMazOn MacHinE lEarNing

10. THe web chAptEr
A SCIENCE AREA IN KNOWIT OBJECTNET
• Insight, data visualization and exploration
• Unstructured data
Ibm waTsoN

11. THe web chAptEr
A SCIENCE AREA IN KNOWIT OBJECTNET
• White box
• Model introspection
• Decision trees
• Fully managed, self managed or on premises
bIgml

12. MlaaS - maChiNe LeaRniNg For thE rEst of us
DEmoCraTizAtiOn
CommOdiTizAtiOn
DatA ovEr AlgOriThms

13. MlaaS - maChiNe LeaRniNg For thE rEst of us
DemO tIme!

14. MlaaS - maChiNe LeaRniNg For thE rEst of us
‘the inTelLigEnt
soSiaL MEdiA POstEr’

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“twitter” , ”Presenting at JavaZone today, the live demo will
fail, I’m sure of it.”
“twitter” , ”It failed. As I expected. Next year, no live
demo.”
“facebook” , ”Thank god it’s Friday. Whoop, whoop!”
“facebook” , ”Way too early to be up, can’t the kids learn to
make their own Saturday breakfast?”
…

17. MlaaS - maChiNe LeaRniNg For thE rEst of us

18. MlaaS - maChiNe LeaRniNg For thE rEst of us
Twitter Facebook
Twitter
Facebook
ActUal
PRedIctEd
47 20
10 112 128
67
(69%) (31%)
(8%) (92%)

19. MlaaS - maChiNe LeaRniNg For thE rEst of us

20. Anders Breivik
abr@knowit.no
twitter.com/anders_b
github.com/abrabr
THanKs