Episodes (Page 3)
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Part one of end-to-end AI application development series
The Data Lifecycle
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Identifies common barriers preventing research findings from reaching practice
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Examines whether large language models exhibit verbal behavior properties
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Explains vector embeddings and their mathematical foundations
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Provides guidance for behavioral science professionals transitioning into data science
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Defines behavioral data science and its interdisciplinary scope
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Introduces the podcast and its focus on behavior science and data science intersection