Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A6538856617297920000
Beyond #Kaggle #MachineLearning #ModelFitting:
MIT AI-Machine Learning Executive Guide:
https://lnkd.in/eknKzm5 : FutureOfFinance.org/MIT/
Knowing that All Models Are Wrong:
#Models #ModelRisk #ModelRiskManagement
The machine learning community focuses too much on predictive performance. But machine learning models are always a small part of a complex system. This post discusses our obsession with finding the best model and emphasizes what we should do instead: Take a step back and see the bigger picture in which the machine learning model is embedded.
Questions that really matter:
Why #Prediction and ‘One Right Model’ are both Overrated and Naive:
CIO Magazine Interview: https://lnkd.in/drufpPT .
What really matters if not Prediction?
Goldman Sachs: Beyond ‘Prediction’ to ‘Anticipation of Surprise’™
FutureOfFinance.org
What to Do given all Models are Wrong?
Princeton Presentations Pioneering Model Risk Arbitrage™
ModelRiskArbitrage.com/
CFA Keynote: JPMorgan to Goldman Sachs: Auto-ML:
https://bit.ly/2Tk5Ooc
What is the Bigger Picture?
#DigitalTransformation to #KnowledgeManagement:
https://lnkd.in/eQAR3rd
AI-ML Practices: Quant-Cyber-Crypto-Quantum Computing:
https://lnkd.in/eR6439j
Thanks to Mike Tamir, PhD for sharing:
http://bit.ly/2YEKHzI
