Description: About this Item The item is a book Paperback The Author Name is Guangxi Yu The Title is Introduction To Machine Learning In Quantitative Finance, An : 0 Condition New Other Comments Pages Count - 264. Binding type - Perfect. Content Language - English Category - BUSINESS & ECONOMICS / Finance / Financial Engineering COMPUTERS / Data Science / Machine Learning Product Description - 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! We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 165916325
Price: 60.73 USD
Location: US
End Time: 2024-12-10T17:39:55.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: BUSINESS ECONOMICS / Finance / Financial Engineering
Brand: Advanced Textbooks In Mathematics
Weight: 0.36
Style: NA
Title: Introduction To Machine Learning In Quantitative Finance An 0
Release Title: Introduction To Machine Learning In Quantitative Finance An 0
Record Grading: New
Sleeve Grading: New
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Film/TV Title: Introduction To Machine Learning In Quantitative Finance An 0
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Movie/TV Title: Introduction To Machine Learning In Quantitative Finance An 0
UPC: 9781786349644
EAN: 9781786349644
ISBN: 9781786349644
Binding Type: Perfect
Item Length: 228.6
Item Width: 152.4
Item Height: 13.97
Main Stone: NA
Metal Purity: NA
Metal: NA
Connectivity: NA
Model: NA
Book Title: Introduction to Machine Learning in Quantitative Finance
Number of Pages: 265 Pages
Language: English
Publisher: World Industries Scientific Publishing UK The Limited
Publication Year: 2021
Topic: Finance / Financial Engineering, Finance / General, Applied
Illustrator: Yes
Genre: Mathematics, Business & Economics
Author: Hao Ni, Xin Dong, Jinsong Zheng, Guangxi Yu
Book Series: Advanced Textbooks in Mathematics Ser.
Format: Trade Paperback
