Azure Machine Learning Services : Introduction – Part 1

  In this post series, I am going to show how we can use Azure Machine learning services and the new features added that make life so easy to train, deploy, automate managing machine learning models [1]. In this post, first I will show how to use a no code environment for Auto ML, how ...

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OVERVIEW ON MICROSOFT MACHINE LEARNING TOOLS

Microsoft Machine Learning Technologies Overview Artificial intelligence and specifically Machine learning can bring lots of benefit to the business owner. Many businesses using Microsoft data platform tools for many years. Microsoft employed machine learning in creating their products such as Xbox, Bing Search and so forth for a while. However, from 2014 they start to ...

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Road Map to use Microsoft ML tools

I normally work with most of the Microsoft tools for the aim of doing machine learning. I came up with a roadmap that shows what option for machine learning we have with Microsoft tools in Data Platform. this roadmap is not completed yet, I need to update it one later with some tools such azure ...

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Interactive Charts using R and Power BI: Create Custom Visual Part 1

I am so excited about using Plotly packages in Power BI. So What is Plotly: is an R package for creating interactive web-based graphs via the open source JavaScript graphing library: https://plot.ly/r/getting-started/ this feature has been added recently and had been announce by Christian Christian Berg in Data insight summit 2017. I started to search about ...

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Speaking Files in Microsoft Data Insight Summit 2017

Microsoft Data insight Summit 2017 has been held in Seattle from 12 to 13 Jun. It is the main conference for Microsoft Data Analysis with Power BI. All interesting and new topics in Power BI has been presented. Most of the speakers are from Microsoft product team or  experienced speakers in this fields. there are ...

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Azure Machine Learning Part 3: Data Transformation in R

In previous post I have explained how to import data into Azure ML environment. In this part,I will show how to do data cleaning, data transformation in Azure ML environment. The second step in machine learning process is bout collecting (Part 2), cleaning and loading data (current part). Azure ML has different components for data ...

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Part 4 – Live Streaming Weather Station with Cortana Analytics (Online Data Analytics with Azure ML)

In previous posts, I have showed the process of creating a live weather data streaming with Cortana. In Part 1 the process of setting up Raspberry PI3 and weather station sensor has been explained. Following, in Part 2, the process of setting up the Event Hub as a median to digest the data from Raspberry PI ...

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Live streaming Weather station with Cortana Analytics – Part 2

Posted by on Feb 28, 2017 in Analytics, Cortana Analytics, IOT | One Comment

In previous post (https://radacad.com/create-a-live-stream-weather-station-with-cortana-analytics-part-1), I have explained what is Cortana, What is IoT and how to set up the Raspberry pi3. In this post, I will explain the process of connecting weather station sensor to Raspberry Pi. Also, how to send data to the Event Hub and set it up. Get Weather Data For connecting ...

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Live streaming Weather station with Cortana Analytics – Part 1

Cortana analytics help organization to transform data into intelligence. In this post I will show how to use Cortana Analytics for IoT and Machine Learning Purpose. In propose scenario I will try to show some components of Cortana intelligence that has been used for collecting data from a weather station sensor and show the live temperature data ...

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