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*DataScienceDaily* Reading Minds with ML, Is Data Scientist Shortage a Hot Mess, and 6 Steps to ML in Python

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Data Science Daily Show Notes

  1. @fastcompany What If The Data Science “Skills Gap” Is Just A Hiring Hot Mess? One veteran data scientist explains why asking for advanced degrees and X years of experience is creating artificial scarcity. https://www.fastcompany.com/40432834/what-if-the-data-science-skills-gap-is-just-a-hiring-hot-mess
  2. @gp_pulipaka Scientists harness ‘mind reading’ technology to decode complex thought. #BigData #MachineLearning #DataScience #AI http://buff.ly/2tiKlCj
  3. @gp_pulipaka
    Machine Learning and the Language of the
    #Brain. #BigData #MachineLearning #DataScience #AI #NeuroScience http://buff.ly/2sVgHRj
  4. @KirkDBorne Mastering #MachineLearning with #Python in Six Steps (book) http://bit.ly/2ub7QKx  #abdsc #BigData #DataScience
  5. @gp_pulipaka
    Computer system predicts products of chemical reactions.
    #BigData #MachineLearning #DataScience #AI

About the author, Frank

Frank La Vigne is a software engineer and UX geek who saw the light about Data Science at an internal Microsoft Data Science Summit in 2016. Now, he wants to share his passion for the Data Arts with the world.

He blogs regularly at FranksWorld.com and has a YouTube channel called Frank's World TV. (www.FranksWorld.TV). Frank has extensive experience in web and application development. He is also an expert in mobile and tablet engineering. You can find him on Twitter at @tableteer.

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