RSS Featured Blog Posts
  • Neural Networks from a Bayesian Perspective
    Yoel Zeldes
  • Combining CNNs and RNNs – Crazy or Genius?
    Summary: There are some interesting use cases where combining CNNs and RNN/LSTMs seems to make sense and a number of researchers pursuing this.  However, the latest trends in CNNs may make this obsolete.   There are things that just don’t seem to go together.  Take…
    William Vorhies
  • New Off-the-beaten-path Problem
    It is more than just a problem, rather a project, possibly even a long-term one for expert data scientists and/or mathematicians, if you want to make a significant contribution towards a great solution. Yet it is also a nice project for beginners, mostly involving exploratory data analysis on the largest data set ever created, using […]
    Vincent Granville
  • Four Quadrants of the Enterprise AI business case
    Introduction In this post, I discuss the development of the Enterprise AI business case through a framework of four quadrants.  According to Gartner: “The mindset shift required for AI can lead to “cultural anxiety” because it calls for a deep change in behaviors and ways of thinking”. Deployment of AI in an Enterprise is complex […]
    ajit jaokar
  • Weekly Digest, August 13
    Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. Featured Resources and Technical Contributions Comparison of the Most Useful…
    Vincent Granville

We noticed your search to hire data scientists, and no doubt you realize there is more demand for this expertise than the available pool of talent. In addition, while the practice of data science is not new, the professionals calling themselves data scientists come from diverse backgrounds, differing levels of education and experience. Some will argue that econometrics is the best background for a data scientist, while others view statistics with computer science skills, or teach yourself programming it’s the creative mindset applied to business and knowledge of mathematical applications that are the most brilliant. Suffice it to say, data science has multiple approaches to solve a problem, and combined training in the discipline of econometrics, mathematics and statistics with computer science chops and field experience is going to provide a candidate with the best approach to solving your business problems over and over again. So, let’s agree it’s a strategic hire for your organization.

The Data Science Beagle has teamed up with our friends at Divergence Academy, and offers several programs available to assist you in your search, either fee based, contingent or sponsorship.

 

 

 

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