Joseph Babcock

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Joseph Babcock has spent more than a decade working with big data and AI in the e-commerce, digital streaming, and quantitative finance domains. Through his career he has worked on recommender systems, petabyte scale cloud data pipelines, A/B testing, causal inference, and time series analysis. He completed his PhD studies at Johns Hopkins University, applying machine learning to the field of drug discovery and genomics.

Books from Joseph Babcock

  1. Generative AI with Python and TensorFlow 2
    Fun and exciting projects to learn what artificial minds can create