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{
    "version": "2.0",
    "extensionBundle": {
        "id": "Microsoft.Azure.Functions.ExtensionBundle",
        "version": "[1.*, 2.0.0)"
    }
}

csiebler

import logging
import json

import azure.functions as func

def main(req: func.HttpRequest) -> func.HttpResponse:
    products = [
        {
            "name": "Azure DevOps",
            "price": 4.99

csiebler

System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;
using Microsoft.AspNetCore.Mvc;
using Microsoft.Azure.Management.Fluent;
using Microsoft.Azure.Management.ResourceManager.Fluent;
using Microsoft.Azure.Management.ResourceManager.Fluent.Authentication;
using Microsoft.Azure.Services.AppAuthentication;
using Microsoft.Rest;

csiebler

import requests
import json
import pandas as pd
import matplotlib.pyplot as plt

subscription_key = "xxxxxxx"
endpoint = "https://westeurope.api.cognitive.microsoft.com"
batch_detection_url = "/anomalydetector/v1.0/timeseries/entire/detect"
latest_point_detection_url = "/anomalydetector/v1.0/timeseries/last/detect"

csiebler

import logging
import azure.functions as func

def main(inputBlob: func.InputStream, outputBlob: func.Out[str]):

    logging.info(f"Blob trigger executed!")
    logging.info(f"Blob Name: {inputBlob.name} ({inputBlob.length}) bytes")
    logging.info(f"Full Blob URI: {inputBlob.uri}")

    output = "Hello World!"

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Introduction

This document gives a brief overview on most of Microsoft's AI and ML service offerings. The provided resources should help you with your first steps in each area and can be used as an initial learning path. Please note that this document does not make any claims of being complete, or up-to-date in terms of the available AI/ML-related services on Azure.

Cognitive Services

What is it?

• Pre-built Machine Learning Models, published as an API. Infuse your apps, websites and bots with intelligent algorithms to see, hear, speak, understand and interpret your user needs through natural methods of communication. Cognitive Services provide the following capabilities:

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apiVersion: apps/v1beta1
kind: Deployment
metadata:
  name: azure-vote-back
spec:
  replicas: 1
  template:
    metadata:
      labels:
        app: azure-vote-back

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bot.dialog('/', [
  function (session) {
    var msg = new builder.Message(session)
      .text("Hello, I can help you with:")
      .suggestedActions(
        builder.SuggestedActions.create(
          session, [
            builder.CardAction.imBack(session, "Option 1", "Something 1"),
            builder.CardAction.imBack(session, "Option 2", "Something 2"),
            builder.CardAction.imBack(session, "Option 3", "Something 3")]

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var restify = require('restify');
var builder = require('botbuilder');
var botbuilder_azure = require("botbuilder-azure");

// Setup Restify Server
var server = restify.createServer();
server.listen(process.env.port || process.env.PORT || 3978, function () {
   console.log('%s listening to %s', server.name, server.url); 
});
  

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<ReplicationConfiguration>
    <Rule>
        <Status>Enabled</Status>
        <Prefix></Prefix>
        <Destination>
            <Bucket>arn:aws:s3:::sgws11-rocks</Bucket>
        </Destination>
    </Rule>
</ReplicationConfiguration>