Machine Learning on Consolidated Accounts, MLGeek Brussels [ULB] April 30
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Presentation at MLGeek Brussels on April 30th 2013 - Machine Learning on accounting data from a holding company
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Accounting: Balance Sheet
Non Current Assets
(Actifs Immobilisés/
Vast Activa)
[ Equity ]
Capital+Retained Earnings
LT Debts
ST Debts
Current Assets
(Actifs circulants/
Vlottend Activa)
ACTIVE PASSIVE](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Machine Learning on Consolidated Accounts, MLGeek Brussels [ULB] April 30
- 1. 1 ML on accounting data from holding companies
- 2. 2 Accounting: Balance Sheet Non Current Assets (Actifs Immobilisés/ Vast Activa) [ Equity ] Capital+Retained Earnings LT Debts ST Debts Current Assets (Actifs circulants/ Vlottend Activa) ACTIVE PASSIVE
- 3. 3 Revenues (Sales…) COGS (Cost of Sales) General Expenditures Personnel Costs Depreciation Financial cost Profit Taxes Profit & Loss statements (P&L)
- 4. 4 GROSS MARGIN – GENERAL EXPENDITURES PERSONNEL COSTS DEPRECIATION FINANCIAL COSTS FIN. REVENUES LOSS
- 5. 5 Holding companies Consolidated Accounts Method: Import CSV Convert Data Foreign Currency Group Chart of Accounts Eliminations (e.g. intercompany / equity / depreciations / etc)
- 6. 6 ML: Find correlations through raw CPU power Data frequency Data uniformity Predictive analytics Any sense? Confidence intervals www.wk1model.com
- 7. 7
- 8. 8
- 9. 9 Martin van Wunnik 0475 / 96.95.91 hello@MvanWunnik.com Presentations : www.slideshare/MvanWunnik