Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...
Predictive AI Must Be Valuated – But Rarely Is. Here’s How To Do It
  Originally published in Forbes To be a business is...
Agentic AI Is The New Vaporware
  Originally published in Forbes The hype term “agentic AI”...
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6 years ago
How to Hire a Data Scientist

 Now that artificial intelligence and machine learning have become increasingly common tools in a business’ arsenal, it is equally important to have employees who are capable of using – or developing – such tools. Chief among them should be a data scientist: someone with the experience and ability necessary to work with structured and unstructured data, and build systems capable of mining that data to come up with actionable and useful insights. The exact responsibilities of a data scientist can vary depending on the type of organization they work for,  which means that it’s up to an individual

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