Guangxi Yu's Books

An Introduction To Machine Learning In Quantitative Finance

By: Hao Ni,Xin Dong,Jinsong Zheng,Guangxi Yu

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An Introduction To Machine Learning In Quantitative Finance

By: Hao Ni,Xin Dong,Jinsong Zheng,Guangxi Yu

In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.An Introduction to Machine Learning in Quantitative Finance aims to demystify ML by uncovering its underlying mathematics and showing how to apply ML methods to real-world financial data. In this book the authorsFeatured with the balance of mathematical theorems and practical code examples of ML, this book will help you acquire an in-depth understanding of ML algorithms as well as hands-on experience. After reading An Introduction to Machine Learning in Quantitative Finance, ML tools will not be a black box to you anymore, and you will feel confident in successfully applying what you have learnt to empirical financial data!

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Page Count

263

Publisher

World Scientific

Published Date

ISBN 10

1786349388

ISBN 13

9781786349385

Chinese Kung Fu

By: Guangxi Wang

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Chinese Kung Fu

By: Guangxi Wang

An illustrated introduction to the history and development of kung fu, a fascinating and popular branch of traditional Chinese culture.

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Page Count

123

Publisher

Cambridge University Press

Published Date

ISBN 10

0521186641

ISBN 13

9780521186643

Multifractal Detrended Analysis Method and Its Application in Financial Markets

By: Guangxi Cao,Ling-Yun He,Jie Cao

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Multifractal Detrended Analysis Method and Its Application in Financial Markets

By: Guangxi Cao,Ling-Yun He,Jie Cao

This book collects high-quality papers on the latest fundamental advances in the state of Econophysics and Management Science, providing insights that address problems concerning the international economy, social development and economic security. This book applies the multi-fractal detrended class method, and improves the method with different filters. The authors apply those methods to a variety of areas: financial markets, energy markets, gold market and so on. This book is arguably a systematic research and summary of various kinds of multi-fractal detrended methods. Furthermore, it puts forward some investment suggestions on a healthy development of financial markets.

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Page Count

258

Publisher

Springer

Published Date

ISBN 10

9811079161

ISBN 13

9789811079160

An Introduction to Machine Learning in Quantitative Finance

By: Hao Ni,Jinsong Zheng

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An Introduction to Machine Learning in Quantitative Finance

By: Hao Ni,Jinsong Zheng

In today's world, we are increasingly exposed to the words "machine learning" (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it. An Introduction to Machine Learning in Quantitative Finance aims to demystify ML by uncovering its underlying mathematics and showing how to apply ML methods to real-world financial data. In this book the authors Provide a systematic and rigorous introduction to supervised, unsupervised and reinforcement learning by establishing essential definitions and theorems. Dive into various types of neural networks, including artificial nets, convolutional nets, recurrent nets and recurrent reinforcement learning. Summarize key contents of each section in the tables as a cheat sheet. Include ample examples of financial applications. Showcase how to tackle an exemplar ML project on financial data end-to-end. Supplement Python codes of all the methods/examples in a GitHub repository. Featured with the balance of mathematical theorems and practical code examples of ML, this book will help you acquire an in-depth understanding of ML algorithms as well as hands-on experience. After reading An Introduction to Machine Learning in Quantitative Finance, ML tools will not be a black box to you anymore, and you will feel confident in successfully applying what you have learnt to empirical financial data! The Python codes contained within An Introduction to Machine Learning in Quantitative Finance have been made publicly available on the author's GitHub: https: //github.com/deepintomlf/mlfbook.git

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Page Count

265

Publisher

Advanced Textbooks In Mathematics

Published Date

ISBN 10

1786349647

ISBN 13

9781786349644

Book's by Guangxi Yu

An Introduction To Machine Learning In Quantitative Finance

An Introduction To Machine Learning In Quantitative Finance

Chinese Kung Fu

Chinese Kung Fu

Multifractal Detrended Analysis Method and Its Application in Financial Markets

Multifractal Detrended Analysis Method and Its Application in Financial Markets

An Introduction to Machine Learning in Quantitative Finance

An Introduction to Machine Learning in Quantitative Finance

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