These two statements are strong arguments for using machine learning over human input. Machine learning can analyze millions of signals and placements in real time and Machine learning reduces human bias and common errors.
- Machine learning can have a better understanding of business objectives.
- Machine learning is more capable of interpreting human emotion.
- Machine learning can analyze millions of signals and placements in real time.
- Machine learning reduces human bias and common errors.
The correct answers are: Machine learning can analyze millions of signals and placements in real-time and Machine learning reduces human bias and common errors.
If you think about the amount of data the campaign is processing, it makes sense that the system takes time to work. There’s no way we could manually optimize across all of the millions of signals and placements. And in real time, no less! Plus, when it all comes together and the campaign starts to perform well, it makes us look good.
The complexity of creative A/B testing and the possibility of human bias disappear with an automated approach to campaign management. Machine learning can analyze millions of signals and placements in real time and reduces human bias and common errors. These statements are strong arguments for using machine learning over human input for Angela is explaining the advantages of machine learning in Google App campaigns to her colleagues.
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