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Machine Learning in Finance From Theory to Practice by Matthew F. Dixon ISBN: 978-3030410674
Machine Learning in Finance From Theory to Practice by Matthew F. Dixon ISBN: 978-3030410674
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About this Hardcover
- ISBN-13
- 9783030410674
- Author
- Matthew F. Dixon,Igor Halperin,Paul Bilokon
- Publisher
- Springer International Publishing
- Edition
- 1st ed. 2020
- Published
- 2020-07-02
- Pages
- 548
- Binding
- Hardcover
Verified US edition — ISBN 9783030410674
ISBN 9783030410674 identifies the 1st ed. 2020 of Machine Learning in Finance From Theory to Practice by Matthew F. Dixon by Matthew F. Dixon,Igor Halperin,Paul Bilokon, published by Springer International Publishing (2020-07-02). Every copy autoxdx ships against this ISBN is the genuine US-edition print run from the original publisher's authorized US distribution — no overseas reprints, no scanned facsimiles, no "international edition" rebranding. Verify this ISBN against your professor's syllabus before checkout.
About Springer International Publishing
Springer Publishing Company (NYC) publishes nursing, counseling, social work, and health-professions reference books — including the 101/301 Careers series, Springer Series on Behavioral Addictions, and clinical advanced-practice references. Distinct from Springer Nature (scientific journals), Springer Publishing's titles dominate MSN/DNP and CACREP-accredited counseling program reading lists. We source directly from Springer's US warehouse.
How students use this book
NCE, CPCE, and state counseling licensure exams test across nine content areas — human growth, social/cultural, helping relationships, group work, career, assessment, research, and professional orientation. This title works best inside a multi-resource prep plan: a content review like Rosenthal's, a Q-bank, and audio review for commute time. Most successful candidates dedicate 8-12 weeks of focused review across all nine domains.
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