Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A7080180389863985154
Brint.com AI-ML-DL: Who Said Physical Data Math Needs to Agree with Physics? AI-ML Scientists Get Ready for High School Math! https://lnkd.in/gTS5W9jT :
“A fundamental challenge is that the #predictions of #deep-#learning #models trained on #physical #data typically ignore #fundamental #physical #principles.”
Princeton University Presentations: #Math-#Physics of #AI-#ML-#DL-#Quant-#Finance-#Trading: ModelRiskArbitrage.com : https://lnkd.in/gcp_yHe :
#MathIsFragile #UseCarefully: #Beyond #Theory: #Real #Messes:
https://lnkd.in/gB8-BHvb
1. Know Math Underlying Your #AI-#Quantum #Models
2. More Importantly, Know Where That Math #Breaks Down
3. Most Importantly, Apply #Intuition to #GoBeyond Math
FutureOfFinance.org 1993-Current BRINT.com Goldman Sachs J.P. Morgan:
-> Start With #ModelRisk & #ModelRiskManagement
Math is #Beautiful & #Fragile: “#Model, however #beautiful, is an #artifice”:
• Princeton University Presentations in AI-ML Risk Management-Control Systems: #AI, #MachineLearning & #DeepLearning #Risk Management & #Controls: Beyond #Deep #Learning-#Generative #Adversarial #Networks: : https://lnkd.in/e_7sqj4 : ModelRiskArbitrage.com .
-> Know #Physical #Reality of #Math: #HighSchool Texts
• #Mathematics for the #Nonmathematician, 1967: https://lnkd.in/g74DzQUn
• #Calculus: An #Intuitive and #Physical Approach: https://lnkd.in/gQXYsvrd
• Mathematics: The Loss of #Certainty, 1980: https://lnkd.in/g5KJuadN
• Mathematics and the Search for #Knowledge, 1985:
https://lnkd.in/gkb-r9ng
#CommonSense Beyond #Physics-#Math: #AI-#ML-#DL Don’t Have.
“The mathematician really creates models of reality. Each model has a limited applicability. Moreover, one must distinguish between the mathematical model and the physical world or between mathematical theories and physical reality.”
“If herds of cattle behaved like volumes of gases or like raindrops, then the arithmetic would not apply, and it is only through experience that we learn how they do behave. Hence, we have no guarantee that arithmetic per se represents truths about the physical world.”
“Suppose, next, that one raindrop is added to another raindrop. Do we now have two raindrops? If one cloud is joined to another cloud do we now have two clouds? One may protest that in these examples the merged objects have lost their identity, and that the addition process of arithmetic does not contemplate such loss. And precisely for this reason, arithmetic in the normal sense no longer applies.”
-> Then Advance Beyond: #ModelRiskArbitrage #QuantumUncertainty:
https://lnkd.in/eR37Y89U:
SSRN: 123 Top-10 R&D Rankings: R&D Impact Among #AI-#Quant #Finance Nobel Laureates:
https://lnkd.in/ec99Zkd :
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