What is machine learning and what kinds of problems can it solve? Google thinks about machine learning a little differently: it’s about logic, rather than just data. We will describe why such a framing is useful when it comes to devising new applications for ML and how to utilize it to expand the capabilities of your business. From the speaker’s perspective watching many companies in many industries leverage Machine Learning, he observes how abstraction levels of Machine Learning are increasing, how data comprehensiveness is becoming more important than data size and why systems can often build on top of preexisting models. Finally, the talk ends with how your IT infrastructure has to change to enable you to take full advantage of Machine Learning and achieve tremendous business impact and personalization.
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Publisher: Google Cloud
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