Azure OpenAI

Azure OpenAI

One of the recent Azure Cognitive Services additions is Azure OpenAI, a cloud-based resource that offers enterprise-grade capabilities typical of an Azure service (e.g. private networking, regional availability, and responsible AI content filtering) and provides access to OpenAI's generative AI models like GPT-3 and Codex.

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Metrics Advisor

Metrics Advisor

Metrics Advisor is an Azure Cognitive Service that uses AI to automate the detection of anomalies in time series data. The service is able to ingest metric data from a variety of sources (e.g. Azure Data Lake Storage, Azure Cosmos DB, Azure SQL Database, etc), use machine learning to automatically find outliers, and provide diagnostic insights to aid root cause analysis.

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DP-100: Designing and Implementing a Data Science Solution on Azure - Exam Prep

DP-100: Designing and Implementing a Data Science Solution on Azure - Exam Prep

A collection of resources and learning material to help prepare for and pass exam DP-100: Designing and Implementing a Data Science Solution on Azure. This exam focuses on how to implement and run machine learning workloads on Azure; in particular, using Azure Machine Learning Service. 

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Azure Machine Learning Designer

Azure Machine Learning Designer

Azure Machine Learning designer is a visual-first environment that lets you build, test, and deploy, predictive models via a drag and drop interface without needing to write a single line of code. Designer can be thought of as the successor to Azure Machine Learning Studio (classic).

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Form Recognizer

Form Recognizer

Form Recognizer is an AI powered document extraction service. An extension to the Vision family of Azure Cognitive Services, Form Recnogizer is able to extract key-value pairs and table data from documents by training a custom model off of a small training data set.

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Getting Started with Apache Spark

Getting Started with Apache Spark

Apache Spark is a unified analytics engine for big data processing with built-in support for interactive queries (Spark SQL), real-time analytics (Spark Streaming), machine learning (MLib) and graph processing (GraphX).

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How to Build a Chatbot Without Code

How to Build a Chatbot Without Code

Learn how to create an AI powered chatbot in minutes with zero lines of code. Using QnA Maker and Azure Bot Service, we build and deploy a Slack chatbot that can answer Tesla's frequently asked questions for new owners.

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Natural Language Understanding (LUIS)

Natural Language Understanding (LUIS)

Extract intent and key pieces of information from text with LUIS (Language Understanding Intelligent Service), a machine learning based offering that falls under Microsoft's Cognitive Services suite. Natural language understanding is a key component in enabling developers to engineer features out of text (i.e. creating data out of data) as well as building conversation based interfaces.

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