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Microsoft Azure beyond IaaS
This document provides an overview of Microsoft Azure machine learning and cognitive services. It describes the different machine learning and AI services available in Azure including Azure Machine Learning, Cognitive Services, and other ML options. It also provides examples of how various cognitive services APIs can be used for applications involving computer vision, language processing, speech recognition and more.
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Microsoft Azure beyond IaaS
- 1. Build,SkillandEnableBuild,SkillandEnable Microsoft Azure BeyondIaaS Bipin Sinhaa Bipinsinhaa.in Innovate, Collaborate & Accelerate
- 2. Build,SkillandEnable AI and MachineLearning Anatomy
- 3. Build,SkillandEnable What ML cando for you?
- 4. Build,SkillandEnable Lets Start- MachineLearning (ML)
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- 8. Build,SkillandEnable Use your owndata to train models Use Machine Learning as API (Cognitive Services ) Two way Machine Learning Available in Azure
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- 10. Build,SkillandEnable Azure Machine Learning service Managedcloud service for ML Train, deploy, and manage models in Azure using Python and CLI Azure Machine Learning Studio Drag–and–drop visual interface for ML Build, experiment, and deploy models using preconfigured algorithms (Python and R) Azure Cognitive Services Azure services with pre-built AI and ML models Easily add intelligent features to your apps Azure Data Science Virtual Machine Virtual machine with pre- installed data science tools Develop ML solutions in a pre- configured environment ML Options in Azure What is It What You can do Machine Learning products at Microsoft
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- 12. Build,SkillandEnable Microsoft Azure MachineLearning Process
- 13. Build,SkillandEnable • Accessible througha web browser, no software to install; • Collaborative work with anyone, anywhere via Azure workspace; • Visual composition with end2end support for data science workflow; • Best in class ML algorithms; Immutable library of models, search discover and reuse; • Extensible, support for R & Python; • Rapidly try a range of features, ML algorithms and modelling strategies Microsoft Azure Machine Learning Studio
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- 17. Build,SkillandEnable Questions and Solutions AzureCloud Services + Machine Learning to the Rescue!
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- 19. Build,SkillandEnable Azure design &Architecture
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- 22. Build,SkillandEnable What is MicrosoftCognitive Service ? Project Oxford Part of Microsof t AI Platform Machine Learning APIs 30ish services
- 23. Build,SkillandEnable Why Microsoft CognitiveService? Easy • Roll your own with REST APIs • Simple to add: just a few lines of code required Flexible • Integrate into the language and platform of your choice • Breadth of offerings helps you find the right API for your app Tested • Built by experts in their field from Microsoft Research, Bing, and Azure Machine Learning • Quality documentation, sample code, and community support
- 24. Build,SkillandEnable What is MicrosoftCognitive Services?
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- 26. Build,SkillandEnable Get Start -MicrosoftCognitive Services
- 27. Build,SkillandEnable Vision Vision (Service forAnalyzing Videos & Images) • Computer Vision- Mainly Analyzes image and recognizes the scene and activity in an image. • Face – Detect faces and emotion in an image. • Content Moderator – To check for offensive content in an image or video. Used to allow or block some specific content in an image or video. • Video Indexer – Analyze video content and extract the text spoken in video or detect other objects in a video. • Custom Vision – Used for customized image recognition where a programmer can tune the data as needed.
- 28. Build,SkillandEnable Example Computer VisionAPI Distil actionable information from images
- 29. Build,SkillandEnable Example Computer VisionAPI Distil actionable information from images
- 30. Build,SkillandEnable Example Emotions API Personalizeuser experiences with emotions recognition
- 31. Build,SkillandEnable Speech Speech (Services forSpeech Synthesis & Voice Recognition) • Speech to Text – Recognizes speech and converts it into text. • Text to Speech – Converts text into speech • Speaker Recognition API – It identifies speaker based on their speech. • Speech Translation – It recognizes the speech and translates into a different language. • Custom Speech – Used for building customized speech recognition model.
- 32. Build,SkillandEnable Language Language (Services toProcess Natural Language) Bing Spell Check – It can detect and correct spelling mistakes Content Moderator – To check for offensive content in the text. Translator Text –detects the language and translates it into the customizable language. Text Analytics – Extracts and recognizes sentiments from User Input. Language Understanding Service –This will help our application to understand the meaning of what a speaker is saying.
- 33. Build,SkillandEnable Example Language –EntityLinking Knowledge Service Power you apps data links with named entity recognition and disambiguation
- 34. Build,SkillandEnable Search Language (Services toProcess Natural Language) Bing Autosuggest – Suggest search terms and help autocomplete the search query. Bing News Search – Search specifically in the news section. Bing Web Search – Search in the web section for the provided input values. Bing Entity Search – Identify the entity types such as people or places mentioned in the input and return the results. Bing Image Search – Searches for images that match the phrase in the input. Bing Video Search – Searches for videos that match the phrase in the input.
- 35. Build,SkillandEnable Example Language –BingAutosuggest API Give your app intelligent autosuggest options for search
- 36. Build,SkillandEnable Example Language –Text Analytics API Easily evaluate sentiments and topics to understand what user wants
- 37. Build,SkillandEnable Knowledge Knowledge (Services formaking Intelligent Recommendations) QnA Maker – Process text into question and answers. It can be used by bots to respond back with knowledgeable answers. Custom Decision – Uses your data and learns the way of making the correct decision with every usage. Entity Linking – Contextually extended knowledge of people ,locations and events .
- 38. Build,SkillandEnable Example Computer VisionAPI Distil actionable information from images
- 39. Build,SkillandEnable Use Cases –Real world Applications
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- 42. Build,SkillandEnable Appendix – AmazonAI Services
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