How AI features in smartphones are reducing their dependence on the cloud
#AI #AIio #BigData #ML #NLU #Futureofwork @TunstallAsc @StrategyFintech @TamaraMcCleary @TerenceLeungSF @psb_dc @thomaspower @vinod1975 @ylecun
MACHINE LEARNING
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AI Features in Smartphones Reducing Cloud Dependence
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Mastering AI-Driven Financial Trading and Arbitrage Strategies
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"Mastering Financial Trading — A Deep Dive into #AI, Investment, Robot Trading, and Arbitrage Strategies": http://
amzn.to/42X1Erv by @alisermettas at @ArbitAI_ARBIT —————
#AlgorithmicTrading #DataScience #MachineLearning #ReinforcementLearning #Fintech -
Super Study Guide on Transformers and Large Language Models
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Super Study Guide: Transformers & Large Language Models: http://
amzn.to/3SW6YYm by @afshinea & @shervinea Beautifully presented, excellent content, timely, thorough, educational #LLMs #MachineLearning #AI #GenAI #DataScience #DataScientist #GenerativeAI -
Master Marketing Analytics with Python and Generative AI
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Marketing #Analytics #DataScience #MachineLearning Become a master—> http://
amzn.to/3UfluKn
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With #Python —> http://
amzn.to/307NHu6
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Classic, with foundational algorithms—> http://
amzn.to/2CzPkCR
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With #GenerativeAI —> http://
amzn.to/4dNES9Z
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#AI #Martech #CMO #Adtech -
5 Artificial Intelligence Stocks Beyond The Initial Hype
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5 Artificial Intelligence Stocks After The Hype: The Price Charts Now
#AI #AIio #BigData #ML #NLU #Futureofwork @nigelwalsh @pbouillaud @PatrickGunz_CH @pierrepinna @RebekahRadice @Ronald_vanLoon @sbmeunier
@Shirastweet http://
ow.ly/S9HG30sInvZ -
AWS re:Invent 2024 Showcases Machine Learning and Cloud Innovation
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#AWSreInvent 2024 is in full swing, and the energy is electric! Whether you're diving into machine learning, analytics, or cloud innovation, we’ve got something exciting to share. Don’t miss out and stop by booth number 361!
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The Golden Era of Deep Learning: 2009-2012 Mystery
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GANs was kind of late in the game for me! I had already handed in my thesis, and by that time deep learning was basically working. I really enjoyed the intellectual atmosphere of ~2009-2012 when deep learning didn't really work and all bets were open, solving it was a mystery.
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GANs Win Test of Time Award: Reflections on 2012-2014
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My GAN co-author Sherjil Ozair has written about some memories of 2012-2014 in the context of GANs winning one of this year's test of time awards, worth a read for the nostalgia if you were around back then, or for learning what it was like if you weren't
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Contrarian approach to proving novel ML technique viability
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They thought it wouldn't work, and I was contrarian enough to go home and code it up to prove that it would. But it's a good thing we didn't know about MMD (kernelized moment matching) or we would have just done that instead of inventing something new.
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Scaling Machine Learning: Third Order Moments vs Discriminator Approach
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At the party, the people on the generator / moment matching party asked me for software engineering advice: how to scale up to third order moments? I said this was doomed to fail and counterproposed the discriminator idea.