Title
Machine Learning For Financial Engineering (Advances In Computer Science And Engineering: Texts)
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This Volume Investigates Algorithmic Methods Based On Machine Learning In Order To Design Sequential Investment Strategies For Financial Markets. Such Sequential Investment Strategies Use Information Collected From The Market'S Past And Determine, At The Beginning Of A Trading Period, A Portfolio; That Is, A Way To Invest The Currently Available Capital Among The Assets That Are Available For Purchase Or Investment.The Aim Is To Produce A Selfcontained Text Intended For A Wide Audience, Including Researchers And Graduate Students In Computer Science, Finance, Statistics, Mathematics, And Engineering.
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- Q: How many pages does the book have? A: This book has two hundred sixty pages. It provides comprehensive coverage of machine learning techniques in finance.
- Q: What is the binding type of this book? A: The book is hardcover. This binding style offers durability and keeps the text protected.
- Q: What are the dimensions of the book? A: The book measures six inches in length, zero point eight inches in width, and nine point zero two inches in height.
- Q: Who is the author of this book? A: The author of this book is Laszlo Gyorfi. He is known for his expertise in machine learning and finance.
- Q: What is the main focus of the book? A: The book investigates algorithmic methods for designing sequential investment strategies. It aims to help readers understand market behaviors.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It is intended for a wide audience, including graduate students and researchers.
- Q: What fields does this book cover? A: This book covers fields including computer science, finance, statistics, mathematics, and engineering. It offers interdisciplinary insights.
- Q: How can I apply the knowledge from this book? A: You can apply the knowledge by implementing machine learning techniques in financial strategies. The book provides practical algorithmic methods.
- Q: Is there any specific audience for this book? A: Yes, it targets researchers and graduate students. It is designed for those interested in financial engineering.
- Q: How should I store this book? A: Store this book in a cool, dry place, preferably on a shelf. Avoid direct sunlight to preserve its condition.
- Q: Can this book be cleaned? A: No, it is not recommended to clean the book. However, keep it away from moisture to prevent damage.
- Q: Is this book safe for children? A: Yes, this book is safe for older children and adolescents. It is educational and covers complex topics suitable for mature readers.
- Q: What should I do if the book arrives damaged? A: If it arrives damaged, contact the seller immediately for a return or replacement. Most sellers have policies in place for such issues.
- Q: Does this book have any illustrations? A: No, the book does not contain illustrations. It focuses on textual explanations of machine learning concepts.
- Q: What is the publication company of this book? A: The book is published by Imperial College Press. They are known for their academic publications.
- Q: Is there a warranty for this book? A: Typically, there is no warranty for books. However, check with the seller for specific return policies.