Keith McCormick

Keith McCormick, an executive data scientist, discusses the evolution of machine learning from statistics to deep learning, emphasizing the importance of problem identification. He also explores drone delivery potential, data quality, and responsible AI. McCormick shares insights on ongoing projects, including a new deep learning course and an updated data mining handbook. Follow him on LinkedIn for event updates and engage with the podcast on different platforms.

Data Scientist in Residence at Pandata, Keith McCormick, and Jon Krohn discuss the importance of having a specific revenue-related goal at the start of an AI project, ensuring profitability, and the gaps in data science education. They highlight the role of the C-suite, transparency in AI projects, and the need for clear project goals and structured approaches for successful AI investments.

Guest Keith McCormick, author and data scientist, discusses the key trend of trust in the relationship between humans and algorithms in successful AI deployments. They explore the balance between accuracy and interpretability in AI models, emphasizing the importance of feedback loops for data integrity.