What's the difference between BI and machine learning
summary
Business intelligence summarizes why things happened; machine learning builds statistical models to predict and act on outcomes. Uses concrete tools like TensorFlow, Google Cloud ml engine and Spanner to train and serve models that infer tens to hundreds of millions of predictions per second. A recent neural upgrade yields 85% fewer errors on top eight translation pairs and supports 103 languages, with production speech, vision and NLP APIs available; real examples include port delay risk, customer cost-to-serve, and early cancer RNA-fragment detection from massive historical datasets.
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chapters (4)
- 0:00Start
- 0:26The Difference between Machine Learning and Bi
- 6:07Ml Engine
- 9:03Why Do Machine Learning Come from All these Cloud Companies
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