LinkedIn’s 2017 U.S. Emerging Jobs Report

My key findings from Linkedin Jobs Report:

  1. Low supply of talent for top jobs
  2. Tech skills are at the top, with machine learning engineer, data scientist, and big data engineers rank among the top emerging jobs
  3. Skills and the types of jobs are changing rapidly, where 65% of children entering primary school today will ultimately hold jobs that don’t yet exist

 

Introduction to Probability for Computer and Data Scientists

Rather than sit through a really boring statistics class, get a good introduction and foundation to apply to your programming project:

This video is courtesy of Microsoft and Edx.org, DAT203.1x, Data Science Essentials

Watch these 8 short videos from a Duke data science professor.

Notes:

https://github.com/MicrosoftLearning/Data-Science-Essentials/raw/master/Handouts/Probability.pdf

https://github.com/MicrosoftLearning/Data-Science-Essentials/raw/master/Handouts/Statistics.pdf

Create an Azure Machine Learning (ML) Model and Access it with an API via Excel

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Two of my newly created Azure Web Services

EDx and Microsoft have a great course: Microsoft: DAT203.1x, Data Science Essentials.

Try this lab out, and it will walk you through the modeling steps:

  1. Create a predictive model with a sample data set
  2. Verify the accuracy of the model
  3. Deploy the model as an Azure Web Service, with an API, and URL
  4. Use Excel and Azure Machine Learning Plugin to hit the API with the data in your excel sheet
  5. View your predicted values based on your machine learning model!

My published services:

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API Summary
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Schema

Quite seamless web service publication, with URL, API Key, Input Schema, Output Schema!

Example Usage in Excel, which means you can create a complex machine learning model, and deploy it so that your business teams can use the model to predict values based on real-life data in Excel!

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Azure Machine Learning Office Add-In