10 Things That Can Go Wrong with ML Projects | Karl Weinmeister | Conf42 Machine Learning 2021

Conference: Conf42 Machine Learning 2021

Year: 2021

Karl Weinmeister Engineering Manager - Cloud/AI/ML @ Google Machine learning practitioners are solving important problems every day. They’re also experiencing a new set of challenges that are unique to ML projects. This session will cover what to watch out for in terms of building a model; model accuracy; transparency and fairness; and MLOps. The good news is that there are solutions. Attendees will hear about best practices and tools that will help address these issues. — 0:00 Intro 0:20 Talk — 🥇 Gold Sponsor AWS 🥈 Silver Sponsors ChaosNative Microsoft Restream SeMI Technologies Stream Native TypingDNA 🤝 Media Partners Bpb Infosec Conferences [ Inside Dev ] Manning O'Reilly Packt — Website 🚀🪐 https://www.conf42.com​ Reach Out 📧📭 mark@conf42.com Discord Server 🧑‍🤝‍🧑💬 https://discord.com/invite/dT6ZsFJ5ZM​ LinkedIn 👨‍💼💼 https://www.linkedin.com/company/4911...​ Twitter 🎵🐦https://twitter.com/conf42com​ Conf42Cast 🎧 http://www.conf42.com/podcast