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5 machine learning essentials nontechnical leaders need to understand

TechCrunch

We’re living in a phenomenal moment for machine learning (ML), what Sonali Sambhus , head of developer and ML platform at Square, describes as “the democratization of ML.” ML recruiting strategy. Recruiting for ML comes with several challenges. Secondly, finding the level of experience required can be challenging.

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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

Hiring AI talent US IT staffing firm Motion Recruitment found that AI engineers saw over a 12% growth in salaries compared to a year ago, and mid-level workers saw a 20% increase. And with all the competition for AI talent, some companies are taking a different approach to recruiting.

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20 influential women in software development

Apiumhub

Her preferred coaching method is working side-by-side with testers and teams to help them understand their problems and find good ways to deliver better business value. She splits her time between writing, speaking, teaching, helping teams, and working with her own team at ePlan Services Inc. LinkedIn. 8 – Maria Gutierrez.

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Why a data scientist is not a data engineer

O'Reilly Media - Ideas

Just know that your learning may only scratch the surface of what’s necessary to put something in production. They’re hiring data scientists expecting them to be data engineers. The company goes on an exhaustive search to find the best data scientist ever. We hired you to do data science.”. It’s Bob’s first day.

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The Cloud Cost-Conscious Conundrum

taos

Frankly, I don’t know a single CIO, CTO or VP of Engineering or Operations that would disagree with me. Just ask the many software engineers that engage in hack-a-thons every couple of months, only to find their ideas come to life within weeks…now that’s exciting! Public cloud is not cheaper!

Cloud 40