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PredictionIO - The 1st International Conference on Predictive APIs and Apps

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Veröffentlicht am

PAPIS 2014 – The 1st International Conference on Predictive APIs and Apps

November 17th - 18th, 2014

Barcelona, Spain

Veröffentlicht in: Technologie
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PredictionIO - The 1st International Conference on Predictive APIs and Apps

  1. 1. P re C! lC'i'l O n
  2. 2. .7,“ 1 1:x: ::I4_-L r ' - l l'_ r . 1.»— —‘ $24,000 ' $77, 1 47 1. ' whati>yMrzd*u'/ aw i What is Machine ‘ L64»WVI4'ANg«7 Learning? 39 | ,ooo $ 17.973 , . . ~,i: ~ s -qfi - __ i_; ‘9' " s 1.- . .. 5 f~:1'—_ -- What is Machine Learning? §$boo WPredictionIO
  3. 3. IBM's Deep Blue .7’; l‘ 1' Netflix Prize Goog| e’s self-driving car
  4. 4. What is 8flPredictionIO ? An open source machine learning server For software developers to create predictive features in their web and mobile apps Currently powering thousands of developers and hundred of applications‘ 1 http: //github. com/ PredictionIOI Training Smadulc - oiaannscmamuamnng rrnmgscr-unto on-<-1 UPredictionIO
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  6. 6. What can I help you with’? Googlc E: Microsoft
  7. 7. @PrediCtionIO
  8. 8. predlctlor‘lo—userx New Release Predictionlo 0.8 7 posts tiy 5 authors ‘-“ B I belle Lac set» :1 (K Hi Everyonei We are excited to announce Fnedlcttonlo O 8 is available We vmni Io thank you for giving us your leedback on version 0 7 It's the voice of you and the community that made these improvements possluie These are the now improvements in 0 3 Built on Apache spani We are as excited as you about the power or Apache Spark It is now the data processing ioundatiori o1PredictionlO with this change, you can train the predictive model much taster and siionen the ML cycle A New ML Architectural Pattern Predictlon| O's engines follow the DASE architectural pattern with 4 layers. Data, Algorithm. Sewing and Evaluation it allows you to reuse and plug-andsplay Machine Learning components This separation also eratiies rapid deployment oi algorithms into production Overview [ll’ip; ’<; oc§pred»ctlor‘ loo 8 gipreoiotiorio hirni Greater Flexibility o a enaoies you to build your own engine or cusiorniza the out-ol—tmx engines ior your prediction case. Building your own engine: littp i‘i‘Cocs QIECiC1lOVIlOi'D 3 Oleng nehullders’ Apache 2 Llcense Additionally. we heard you - Predictionlo o B is now open sourced under Apache 2 License vou can download PredictiorilO o 3 http lrprediction oi Get started quickly hltp ildocs preitid-on role 8 oliuiorialslonginesrouicirstart hirnl we are delighted by tho support irom the community to-date and we are oornrnitted in our continuous support or the ML and developer community We look remain to hearing irorn you - you can share with this group or drop us a line at feedbackficvgredicllon to The Predic1ionlO Team
  9. 9. _-. .. .. ~. -L WPredicHonIO
  10. 10. bit. |'/ PICWL. rlr E %¢I S‘) "Y 1-. - St l‘r: r-um‘ l‘iL. |V/ PlO"e! :j; H Bars Coffee & Tea More categories i; Rezommandov S‘/ stems RecSys2013: Yelp Business Rating Prediction Camneuucn Details . RecSys Challenge 2013: Yelp business rating prediction
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  12. 12. @Predic’rionIO
  13. 13. Data Data Source loads cats from a sourte (0 g, Database, Text fl“-‘J and prepares the / 'rmmngl'Jma Data Preparator rakes tho Trammg Data and genwates Prepared Dazu. Algorithm Algorithm takes Prepared Data to train a Morin’ whirh is used to make Predcrr/ on outputs basetl or input QUPW Serving Serving serves the inout Qucr; /and Prcmrr/ on output An Engine represents a type of Machine Learning task, e. g. Recommendation Evaluation Evaluation Metrics is used it) 9‘/ alLJd[9 the Engine basorl upon T031 Dam and by ronipa. nng the PIé'ifi{[J(1i7L>tilp. il Willi the Aauui result UPredlctlonIO
  14. 14. ‘R z 9 ~ ‘l W ‘ php Java Event Query 1T/ Dred/ ct/ ‘on l SW53 Hangs eloslicseorch. UPreoliciionIO
  15. 15. pio build pio train pio deploy Query X x Prediction UPrediciionIO
  16. 16. An Engine Template is the basic skeleton of an engine Recommendation Engine Template (i/ lLiib ALS) Classification Engine Template (i/ iLiib Naive Bayes) or P: 2/‘L’! :5-: ci 1 1‘ ’ y _, ‘' ~. .’_ ' '~ / / Item Recommendation Item Similarity User Recommendation Churn P| ‘EdiCti°n Sentiment AnaiY5i5 Engine Engine Engine Engine Engine
  17. 17. var PredictionlO : String = "For Developers"; ‘ o, _o , (,(n‘. fi-. «- ’ ‘. (J ‘L, “v‘, 1 @PredictionIO
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  21. 21. !“iA Iv/ Ploiresolve The Resolve Digital Blog dow a Simple Recommendation Engine Boosts Revenue over 70% 5» Qv Vested ct‘ Aug. .S' ‘£3 2C‘4 Urited Cellars is ar‘ BW3Fd—Wii‘f‘i'ig on irie wine retailer based ir Ausira ia Treir site is built on the platform and supported by a we i—tra ned teiercarketirig tean“. We proposed that a recommendation engine would mprove tne v sitor experence and increase conversions, so we set up an A/ B test to ‘ind out. Tags
  22. 22. #developers var PredictionlO : String - WPredictionIO “For Deveiope-s": A. ° ’° #5‘ -1-;
  23. 23. L’) '7 ti .1. http: //prediction. io @Prediction| O github. com/ predictionio thomas@prediction. io @PredictionIO

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