Machine Learning at Microsoft with ML.NET.
Zeeshan AhmedSaeed AmizadehMikhail BilenkoRogan CarrWei-Sheng ChinYael DekelXavier DupréVadim EksarevskiySenja FilipiTom FinleyAbhishek GoswamiMonte HooverScott InglisMatteo InterlandiNajeeb KazmiGleb KrivosheevPete LuferenkoIvan MatantsevSergiy MatusevychShahab MoradiGani NazirovJustin OrmontGal OshriArtidoro PagnoniJignesh ParmarPrabhat RoyMohammad Zeeshan SiddiquiMarkus WeimerShauheen ZahirazamiYiwen ZhuPublished in: KDD (2019)
Keyphrases
- machine learning
- maximum likelihood
- visual studio
- data mining
- decision trees
- pattern recognition
- computer science
- explanation based learning
- computer vision
- data analysis
- information extraction
- machine learning methods
- computational intelligence
- knowledge acquisition
- business intelligence
- machine learning and data mining
- inductive learning
- text mining
- learning tasks
- kernel methods
- machine learning algorithms
- database programming
- semi supervised learning
- databases
- natural language processing
- support vector machine
- knowledge representation
- natural language
- reinforcement learning
- artificial intelligence
- genetic algorithm
- learning problems
- machine learning approaches
- feature selection
- microsoft word