Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
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7 years ago
What Bruce Lee Could Have Taught New Data Scientists

 By:  Kelley Counts, OneBlood   There is a hard lesson many data scientists are learning when they start their first job – and no it’s not because they lack ninja skills. While there may be more than a few data scientists that could use some pointers on self-defense, I am not suggesting martial arts is completely necessary to be a true data ninja. But that would be pretty cool. I’m talking about the ability to leverage analytics solutions to solve real world problems for organizations. AND – The catch is you have to do it while maintaining an

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