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brenocon.com | ||
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blog.fastforwardlabs.com
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| | | | | Research in machine learning has seen some of the biggest and brightest minds of our time - and copious amounts of funding - funneled into the pursuit of better, safer, and more generalizable algorithms. As the field grows, there is vigorous debate around the direction that growth should take (for a less biased take, see here). This week, I give some background on the major algorithm types being researched, help frame aspects of the ongoing debate, and ultimately conclude that there is no single direction to build toward - but that through collaboration, we'll see advances on all fronts. | |
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www.aiproblog.com
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www.approximatelycorrect.com
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| | | | | By Zachary C. Lipton* & Jacob Steinhardt* *equal authorship Originally presented at ICML 2018: Machine Learning Debates [arXiv link] Published in Communications of the ACM 1 Introduction Collectively, machine learning (ML) researchers are engaged in | |
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chatgen.ai
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| | | AI Chat can transform your business with personalized support, improved customer experience, and increased loyalty. Learn real-life examples. | ||
