Or, why science and engineering are still different disciplines.
Why companies are turning to specialized machine learning tools like MLflow.
Machines will need to make ethical decisions, and we will be responsible for those decisions.
Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors.
NLP systems in health care are hard—they require broad general and medical knowledge, must handle a large variety of inputs, and need to understand context.
Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning.