Machine Learning Survey Question Title * 1. What is your primary development platform? Linux Windows Mac Other (please specify) Question Title * 2. Which platforms are you primarily targeting for your application? Xbox iOS (Mobile) macOS Linux Android (Mobile) PlayStation Browser Windows (PC) Other (please specify) Question Title * 3. Which languages do you use today for your application and/or cloud development? JavaScript Swift PHP VB.NET ObjectiveC Python Ruby F# Go Node.js ML C# R Matlab Java C/C++ Other (please specify) Question Title * 4. Please choose the role that would best describe you? Developer looking into trying out, experimenting with or using machine learning Developer with a statistics or mathematics background looking into trying out, experimenting with or using machine learning Developer working in collaboration with Data Scientists on my team Data Scientist Business Intelligence No interest in using or experimenting with Machine Learning at this point Other (please specify) Question Title * 5. Which Machine Learning libraries or services have you used as part of your development? Caffe Scikit-learn Tensorflow Microsoft Cognitive Toolkit CNTK Theano Apache Spark MLLib Apache Mahout Apache MXNet Apache SystemML H20 Apache Singa Torch R ML Toolkits .NET Libraries (Accord.NET, Math.NET, Alea.cuBase) ML as a service (Azure ML) ML as a service (Amazon ML) ML as a service (Google ML) ML as a Service (IBM) Azure Cognitive Services None Other (please specify) Question Title * 6. What are some of the key scenarios where you are thinking of or are already using Machine Learning for your application? Language: Natural language, evaluating sentiment and topics (e.g. Text Analytics, Spell check etc.) Speech: Processing spoken language in your applications (e.g. Speech to text, Speaker recognition etc.) Vision: Image processing algorithms (e.g. Face detection, Emotion recognition, Computer Vision etc.) Video: Make videos searchable and discoverable extracting metadata, identifying key nouns Recommendation: Intelligent recommendations and Semantic Search (e.g. Recommendations items on a product page, click patterns, purchase history to provide recomendations) Search: Apps, web-pages, and other experiences smarter and more engaging with the Search (e.g. Image Search, Video Search, AutoSuggest etc.) Other (please specify) Question Title * 7. What are your top pain points while using Machine Learning for your application development? Question Title * 8. Would you be interested in trying out an offering from us aimed at .NET developers for machine learning? Yes, absolutely Maybe Not now, maybe later Question Title * 9. May we contact you in case we have additional questions? Name Email Address Next
