1) Process consulting. 2) AML/BSA compliance, automated transactions monitoring, SAR data analysis. 3) Machine learning enthusiast. 4) Combinations of above.
more goodies there https://t.co/KoddU6YmrQ
including Classification Trees models using python and "express" exploratory data analysis:
https://t.co/awQdvCy3Sf
💥We're live with @stateofai 2020💥
For the 3rd year, @soundboy and I spent 2 months analyzing the most interesting developments in AI.
We aim to trigger an informed conversation about the #stateofai and its implication for the future. Thread 👇
https://t.co/PbyUBS29Mc
Nice applied python use cases 🧠 illustrated by @ahmadbinshafiq - relevant and approachable.
See https://t.co/bJ78DxznjA
- "K Means Clustering with Python"
- "Complete Guide to Linear Regression in Python"
https://t.co/B4aGkgdIqu
A related conversation among "traditional" bankers for context (re custody, securities settlement, lending). Given EU's CSDR timeline has relaxed, is that more opportunity for integration with US, international and "distributed finance" perspectives? 🧐
https://t.co/DeSojrvjn0
As COVID impact continues, questions about CSDR ( EU’s Central Securities Depositories Regulation) persist. Good article from Emma Olsson via @Bobsguidedotcom
https://t.co/Os0JcxLuIO
Occasional paper: Stablecoins - Implications for monetary policy, financial stability, market infrastructure and payments, and banking supervision in the euro area https://t.co/ypkX85wIvJ
@adamscrabble@SwarajyaMag Looking forward to hearing you and @Peoples_Pundit Richard Baris do an interview - leading indicators, data quality, how the polling data sausage is made, etc... ?
Keep up the good interviews work Adam - demand for substantive long-form discussion remains robust :)
... and this more detailed walk through info session from @SASsoftware on applying Machine Learning / Deep Learning in a few typical business use cases:
https://t.co/32YtXMgtlE
A #MachineLearning model can make predictions - so how do we build one to predict #fraud? Read our simple guide to learn more... https://t.co/uKPbUcmtfO
Report from @swiftcommunity on cashout tactics related to large-scale cyber heists money laundering ... with a few suggestions to improve #AML controls.
https://t.co/G0I1fQ2NL2