34,95 €
34,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
17 °P sammeln
34,95 €
34,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
17 °P sammeln
Als Download kaufen
34,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
17 °P sammeln
Jetzt verschenken
34,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
17 °P sammeln
  • Format: ePub

This book is for managers who have been afraid of machine learning but want to understand it. It helps managers understand how machine learning works, what it can do and how it can be used to create value in the context of wider organisation. It will appeal to managers who want to learn more about machine learning applications in business.

Produktbeschreibung
This book is for managers who have been afraid of machine learning but want to understand it. It helps managers understand how machine learning works, what it can do and how it can be used to create value in the context of wider organisation. It will appeal to managers who want to learn more about machine learning applications in business.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Paul Geertsema is an academic and consultant in the areas of finance, data science and machine learning. His research involves the application of contemporary machine learning methods to solving problems in finance and business. He teaches Modern Investment Theory and Management (final-year undergraduate) and Financial Machine Learning (postgraduate) at the University of Auckland. Dr Geertsema has published in numerous international peer-reviewed journals, including the Journal of Accounting Research and the Journal of Banking and Finance, and serves on the board of the AI Researchers Association. Prior to his return to academia, Dr Geertsema worked at Barclays Capital as a derivatives trader in Hong Kong and as a sell-side research analyst in London.