Mastering Mathematical Finance
1179 Kč
Odesíláme do 1 až 2 týdnů
Sleva až 70% u třetiny knih
This book focuses on solving and implementing the increasingly complex numerical problems that arise in finance. Readers will learn the numerical techniques and programming skills necessary for any aspiring quant developer. No programming background is required, making the book thoroughly suitable for beginners.
| Autor: | Capinski, Maciej J.; Kopp, Ekkehard |
| Nakladatel: | Cambridge University Press |
| ISBN: | 9780521177160 |
| Rok vydání: | 2012 |
| Jazyk : | Angličtina |
| Vazba: | Paperback / softback |
| Počet stran: | 175 |
Mohlo by se vám také líbit..
-
Mining of Massive Datasets
Leskovec, Jure (Stanford University, California); Rajaraman, Anand; Ullman, Jeffrey David (Stanford University, Californ
-
Mathematics for Machine Learning
Deisenroth, Marc Peter (University College London); Faisal, A. Aldo (Imperial College London); Ong, Cheng Soon
-
Quantum Computing for Computer Scien...
Yanofsky, Noson S.
-
Machine Learning for Asset Managers
De Prado, Lopez
-
Learning Scientific Programming with ...
Hill, Christian
-
The Discrete Mathematical Charms of P...
Applegate, David L.; Bixby, Robert E.; Chvatal, Vasek; Cook, William J.
-
Language, Cognition, and Computation...
-
Hey Cyba
Young, Steve (University of Cambridge)
-
Modern Statistics for Modern Biology
Holmes, Susan (Stanford University, California); Huber, Wolfgang
-
A/AS Level Computer Science for WJEC...
Surrall, Alistair; Hamflett, Adam
-
Game Theory Basics
Von Stengel, Rudiger
-
How to Write Good Programs
Stevens, Perdita
-
Think Before You Compute
Hinch, E. J. (University of Cambridge)
-
Transfer Learning
Chen, Lijun; Yang, Dali L.; Zhou, Di; Ren, Qiang
-
Foundations of Cryptography: Volume ...
Goldreich, Oded
-
Computer Age Statistical Inference, S...
Efron, Bradley