Introduction To Machine Learning In Quantitative Finance, An Advanced Textbooks In Mathematics

Compare Textbook Prices for Introduction To Machine Learning In Quantitative Finance, An Advanced Textbooks In Mathematics  ISBN 9781786349644 by Ni, Hao,Dong, Xin,Zheng, Jinsong,Yu, Guangxi
Authors: Ni, Hao,Dong, Xin,Zheng, Jinsong,Yu, Guangxi
ISBN:1786349647
ISBN-13: 9781786349644
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Details about Introduction To Machine Learning In Quantitative Finance, An Advanced Textbooks In Mathematics:

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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With over 30 years of teaching, I have the honor and pleasure to say that I have former students – who are doctors, scientists, Engineers, and business men & women - who still keep in touch and even come to visit. Some keep in-touch even from other countries and many call or Skype; and some call for help and advice. Read more

With over 30 years of teaching, I have the honor and pleasure to say that I have former students – who are doctors, scientists, Engineers, and business men & women - who still keep in touch and even come to visit. Some keep in-touch even from other countries and many call or Skype; and some call for help and advice. Read more

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