Machine Learning at Microsoft with ML .NET.
Zeeshan AhmedSaeed AmizadehMikhail BilenkoRogan CarrWei-Sheng ChinYael DekelXavier DupréVadim EksarevskiyEric ErhardtCostin EseanuSenja FilipiTom FinleyAbhishek GoswamiMonte HooverScott InglisMatteo InterlandiShon KatzenbergerNajeeb KazmiGleb KrivosheevPete LuferenkoIvan MatantsevSergiy MatusevychShahab MoradiGani NazirovJustin OrmontGal OshriArtidoro PagnoniJignesh ParmarPrabhat RoySarthak ShahMohammad Zeeshan SiddiquiMarkus WeimerShauheen ZahirazamiYiwen ZhuPublished in: CoRR (2019)
Keyphrases
- machine learning
- visual studio
- maximum likelihood
- machine learning methods
- pattern recognition
- data mining
- inductive learning
- decision trees
- machine learning approaches
- knowledge acquisition
- machine learning and data mining
- support vector machine
- reinforcement learning
- model selection
- business intelligence
- learning systems
- knowledge discovery
- knowledge representation
- active learning
- data analysis
- feature selection
- artificial intelligence
- learning algorithm
- microsoft business intelligence
- supervised machine learning
- explanation based learning
- computational intelligence
- transfer learning
- text classification
- web applications
- databases
- web search
- text mining
- neural network