Guida, Tony
Big Data and Machine Learning in Quantitative Investment (Wiley Finance)
- ISBN 13:
- 9781119522195
- author:
- Guida, Tony
- format:
- Hardback
- publisher:
- John Wiley & Sons Inc
- language:
- English
- Publication Year:
- 2019
- Pages:
- 296
- Dimensions:
- 25 x 17 x 2.2 centimetres (0.66
- Genre:
- Business, Finance, General,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Big Data and Machine Learning in Quantitative Investment is a practical guide to applying machine learning and big data in quantitative finance. Written by practitioners for practitioners, this book covers the key questions of why and how to use these tools effectively. The book is structured around 13 chapters, each written by a different expert on a specific topic. The chapters are ordered from introductory to advanced, covering topics such as the basics of machine learning, practical applications, and innovative approaches using deep learning. By gaining a solid understanding of machine learning and big data, you'll be able to make informed decisions about their use in quantitative investment. This book is not a magical solution, but rather a tool that can help you achieve better results when applied correctly. It provides a clear and concise explanation of the concepts and techniques involved, making it an essential resource for anyone looking to improve their skills in this area.