833: The 10 Reasons AI Projects Fail, with Dr. Martin Goodson
Super Data Science: ML & AI Podcast with Jon Krohn
Exploring Challenges and Opportunities in AI Development
This chapter explores the key challenges encountered in data science projects, focusing on data readiness, model simplicity, and reproducibility. It underscores the need for interdisciplinary skills and public funding to foster equitable advancements in open-source AI development, while appreciating engaging discussions on platforms like LinkedIn.
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