Joseph Babcock has spent almost a decade exploring complex datasets and combining predictive modeling with visualization to understand correlations and forecast anticipated outcomes. He received a PhD from the Solomon H. Snyder Department of Neuroscience at The Johns Hopkins University School of Medicine, where he used machine learning to predict adverse cardiac side effects of drugs. Outside the academy, he has tackled big data challenges in the healthcare and entertainment industries.
Joseph Babcock - ebooki
-
Generative AI with Python and TensorFlow 2. Create images, text, and music with VAEs, GANs, LSTMs, Transformer models
-
Python: Advanced Predictive Analytics. Gain practical insights by exploiting data in your business to build advanced predictive modeling applications
-
Mastering Predictive Analytics with Python. Click here to enter text