Deloitte claims there are numbers of techniques being created that would help people understand how certain ML models work.
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With self-driving cars navigating the streets and smart assistants discovering our preferences for food and music, one thing is clear: We're living in th
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Machine learning (ML) can already improve marketer performance on common tasks like customer segmentation, generating branded collateral, extracting and classifying relevant content, customer communication, and overall productivity and output.
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The dominant tech trend in places like Southeast Asia will be machine learning, according to a researcher from Deloitte.
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How do Machine Learning algorithms handle such large amount of data? This question was originally answered on Quora by Håkon Hapnes Strand.
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Government indifference toward AI could let the US lose ground to rival countries. But what would a good AI plan actually look like?
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Artificial intelligence has been around for a while, but recently it is taking on a life of its own, invading various segments of business, including finance. While many financial managers view the technology with caution, the opportunities it offers for efficiency augmentation, cost reduction and customer satisfaction are irresistible; the big question is how to practically implement AI in day-to-day operations.
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The future of cloud lies at the edge. The public cloud does the heavy lifting while the edge delivers the required intelligence. Expect to see consumer devices become smart and intelligent much along the lines of Amazon Echo and AWS DeepLens.
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Alleged early hominin burials may just be accidents, according to a new study.
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Comet.ml allows data scientists and developers to easily monitor, compare and optimize their machine learning models. The New York-based company is launching its product today, after completing the TechStars-powered Amazon Alexa Accelerator program and raising a $2.3 million seed round led by Trilo…
Sourced through Scoop.it from: techcrunch.com