What do you do if you've made common mistakes as an AI professional and need to recover from them?
Everyone makes mistakes, but in the dynamic field of Artificial Intelligence (AI), errors can seem particularly daunting. If you're an AI professional who's stumbled, you're not alone. The key is not just to fix the errors but to learn from them, ensuring they don't happen again. Whether you've mismanaged data, overfitted models, or overlooked ethical considerations, recovery is possible. This article will guide you through the steps to bounce back from common AI missteps with resilience and a growth mindset.
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Dharmender KapoorCEO Mindsprint; Advisor to businesses in their Digital, Change and Leap frogging initiatives
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Michael Wahl, MBAInnovative VP of Technology & Board Member | Champion of Software Engineering, AI, Python & Serverless | Mentor &…
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Sagarnil DasMachine Learning & Deep Learning Engineer | Intel Edge AI Scholarship Winner | Ex Udacity Machine Learning Mentor | Ex…