The Artificial Intelligence tag on Medium consistently delivers powerful stories that capture the real-world journey of deploying AI solutions. In this latest article, the author shares their experience building a Titanic survival predictor with an impressive 83% accuracy. But the true value of the piece lies in unveiling what happens beyond the model’s performance score — highlighting the hurdles of turning a well-performing model into a production-ready system. From infrastructure challenges, versioning issues, and performance trade-offs, to the often overlooked importance of cross-functional collaboration, it’s a thoughtful reflection on the lesser-seen challenges of real-world AI deployment. For both aspiring data scientists and seasoned ML engineers, this read offers relatable lessons and practical insights into what it really takes to ship AI products at scale. Dive into this honest and illuminating journey here: https://lnkd.in/dd7ZyzsX #ArtificialIntelligence #MachineLearning #AIInnovation #TechInsights
How to Deploy AI Solutions: Lessons from a Titanic Survival Predictor
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2nd video on data sets and different types of AI error
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Founded Doctor Project | Systems Architect for 50+ firms | Built 2M+ LinkedIn Interaction (AI-Driven) | Featured in NY Times T List.
1wWillie Wilkins, how do we effectively bridge the gap between model accuracy and real-world application? this article truly sheds light on practical challenges.