智能数据技术峰会talkingdata全球算法大赛盘点

1、TalkingData全球算法大赛盘点路瑶 数据科学部What is thePower of Data ScienceMystery of Data Scientist Magic of Data ScientistThe Arena of Data ScientistThe Arena of Data ScientistKaggle: leading platform for crowdsourcing data challenges.A community to build the best solution on problems posed by industry, governmen

2、tandacademia.Over 1,200 data science challenges.More than 600,000 registered users over 194 countries from around the world, from a wide variety of educational backgrounds and are often experts in their fields.Platform of KDDCUPFamous competition and scientist of KaggleKaggle Drug Discovery Competit

3、ion, 2012Geoffrey HintonTalkingData host the competition in Kaggle forProvide open data and open platform forSmartest scientist and smartest methodology To solve most challenging topicsTalkingData Competition was announced in Data Science Summit in San Francisco on July13thAcknowledge TuriA famous M

4、achine Learning company who created GraphLab.Acquired by Apple Inc. in AugustTalkingData Mobile User DemographicsGoal of the competition:To know your users profile byLearning from their behavior.GivenApplication usage and trace with time stampsMobile brand and device modeTo optimizeThe estimation of

5、 their age and groupEvaluated byParticipation of the competition1689 teams, 1961 players submitted, 24,629 entries, 2729 kernelsLargest competition hosted by a Chinese company.Among the highest number of Kernels of all. Great proportion of top kagglers participated.70+ countries and regions represen

6、ted by the participant pool.What is thePower of Data ScienceMystery of Data Scientist Magic of Data ScientistThe Arena of Data ScientistMagic of Data ScientistInterpret the raw dataExecute feature engineeringFine tune individual and ensemble models Avoid overfittingFetch the best toolsInterpret your

7、 dataFeature engineeringActive time slotsAge/Gender asfeatureActive areaApp LabelPatternsDistrict specificfeaturesBinary/Weighted FeatureInstall but not activeFine tune individual and ensemble modelsRandom ForestGBDTSVMLogisticRegressionNeural NetworkAdaboostStackAvoid OverfittingAlways doCross Vali

8、dationPublicBoardPrivate BoardTest SetTrain SetFetch the best toolsKerashighly modular neural networks library, written in Pythoncapable of running on top of either Tensorflow or Theano. allows for easy and fast prototypingruns seamlessly on CPU and GPU.XGboostScalable, Portable and Distributed Grad

9、ient Boosting Library,Runs on single machine, Hadoop, Spark, Flink and DataFlowHigher precision, winner in Higgs Boson signal competition in Kaggle, 2014What is thePower of Data ScienceMystery of Data Scientist Magic of Data ScientistThe Arena of Data ScientistHow are our competitorsOpen and helpfulSmart and creative, willing to solve problems in reality Elegant and rationalHard workingWhat we offeredIndustrial data and valuable business problemsHonor to Data Scientists professional s