While there are several different methods available for market forecasting, it is still a tedious, costly, ineffective and outdated process. So, how will machine learning change market forecasting?
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Machine learning has been a fundamental part of the marketing automation process for some years now and is only going to explode in terms of scope and importance over the coming decade. But as the amount of available data grows exponentially and the algorithms that we put into machines grow in complexity, how does machine learning transform this influx of data to increase the insights available to marketers?
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A machine learning model can be seen as a miracle but it’s won’t amount to anything if one doesn’t feed good dataset into the model.
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The inventor of generative adversarial networks has moved from Google to Apple as the latter company speeds up its AI development efforts.
Sourced through Scoop.it from: venturebeat.com
Researchers at MIT have used AI to improve the flavor of basil. It’s part of a trend that is seeing artificial intelligence revolutionize farming.
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What will machine learning look like 15-20 years from now? This question was originally answered on Quora by Keno Fischer.
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The captured data should be pulled and put together and the benefits of collection should outweigh the costs of collection and analysis.
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Machine learning and natural language capabilities will bring the power of analytics to more people through semantics.
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