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Chip Huyen, co-founder of Claypot AI and author of O'Reilly's best-selling "Designing Machine Learning Systems" is here to share her expertise on designing production-ready machine learning applications, the importance of iteration in real-world deployment, and the critical role of real-time machine learning in various applications. Technical listeners like data scientists and machine learning engineers will definitely enjoy this one!\nThis episode is brought to you by Pathway, the reactive data processing framework (pathway.com), and by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.\nIn this episode you will learn:\u2022 Why Chip wrote 'Designing Machine Learning Systems' [08:58]\u2022 How Chip ended up teaching at Stanford [13:18]\u2022 About Chip's book 'Designing Machine Learning Systems' [21:12]\u2022 What makes ML feel like magic [30:53]\u2022 How to align business intent, context, and metrics with ML [37:55]\u2022 The lessons Chip learned about training data [42:03]\u2022 Chip's secrets to engineering good features [53:19]\u2022 How Chip optimizes her productivity [1:07:48]\nAdditional materials: www.superdatascience.com/661