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Amazon Science: Dive Into Deep Learning: Online Book: Recommended!: https://d2l.ai/index.html:
Applying #DeepLearning requires simultaneously understanding (i) the motivations for casting a #problem in a particular way; (ii) the #mathematical form of a given #model; (iii) the #optimization #algorithms for fitting the models to data; (iv) the #statistical #principles that tell us when we should expect our #models to generalize to unseen #data and practical #methods for certifying that they have, in fact, generalized; and (v) the #engineering #techniques required to #train models efficiently, navigating the pitfalls of #numerical #computing and getting the most out of available #hardware. Teaching both the #critical #thinking skills required to formulate problems, the #mathematics to solve them, and the #software #tools to implement those solutions all in one place presents formidable challenges. Our goal in this book is to present a unified resource to bring would-be #practitioners up to speed.
In this book, we teach most #concepts just in time. While we take some time at the outset to teach #fundamental preliminaries, like #linear #algebra and #probability, we want you to taste the satisfaction of #training your first #model before worrying about more esoteric concepts.
Throughout, we interleave the runnable #code with background material as needed. In general, we err on the side of making #tools available before explaining them fully. For instance, we might use #stochastic #gradient #descent before explaining why it is useful or offering intuitions for why it works.
2022: Forthcoming Journal Paper: #AI #Quantum #Uncertainty
#Rethinking #StochasticGradientDescent: #FutureOfRisk:
#Time #Space #Complexity: https://lnkd.in/gaGNNVCS
Over 20-Years Of #HumanCenteredAI #MeaningAwareAI #MachineLearning:
• 2001 #First #Scientific #Journal #Paper: Journal’s #TopRanked Paper: https://lnkd.in/eetCEAz
• R&D Ranked for Impact Among AI-Quant #NobelLaureates: https://lnkd.in/epx6zV3:
• SSRN 98 Top-10 R&D Rankings, Top 1% Authors: https://lnkd.in/gFn4Vm2
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• U.S.-Global #Keynotes-#Presentations: https://lnkd.in/gMR596dj
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MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
#MIT #AI #Faculty-#SME: https://lnkd.in/eknKzm5
Princeton University Princeton Bendheim Center for Finance #Princeton #AI #Cyber #Crypto #Quantum #SME: https://lnkd.in/gcp_yHe
United States Air Force Air Force Research Laboratory #Resilient #AI #Cyber #Crypto #Quantum #Ventures:
Invited Interviews for #USAF #Chief #Scientist #Pentagon:
YogeshMalhotra.com: AIMLExchange.com: BRINT.com: C4I-Cyber.com :
Global Risk Management Network, LLC: Future of AI-Computer Science-Data Science-Finance Are All Here
