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Keras, TensorFlow and New Ways to Measure Machine Intelligence
on advancing AI research for the common good
on creating Ludwig and the Importance of Low-Code ML
"My vision is for people to be compensated for the data they provide while keeping models free to use"
on developing a canonical ML stack and main challenges for mainstream developer adoption
"There is too much depth in this space for feature stores to be just a “feature”
Healthcare has it all: NLP, computer vision, recommendations, and a whole lot more
on shifting from “data as fuel” to “features as fuel”
The future of data labeling automation
The future of feature stores
We did our job right if the term MLOps disappears
Challenges with model explainability