Description: The available book is in very good, clean condition, and free of any highlighting and pen marks. The book comes from a smoke-free home and every book is sanitized before it is dispatched. Please view the attached images. With Karmaminds, what you see is what you get. We appreciate you taking the time out of your busy schedule to view one of our items. If you have any questions, then please feel free to contact us. Please feel free to browse through our other available items. Learn to understand and implement the latest machine learning innovations to improve your investment performanceMachine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest.In the book, readers will learn how to:Structure big data in a way that is amenable to ML algorithmsConduct research with ML algorithms on big dataUse supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting.Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.
Price: 18.97 GBP
Location: Tunbridge Wells
End Time: 2024-12-15T19:02:27.000Z
Shipping Cost: 29.53 GBP
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Returns Accepted: ReturnsNotAccepted
Personalised: No
Subject Area: Machine learning (ML), Technology, Data, Computer Architecture & Microprocessors, Investing & Trading
Publication Name: Advances in Financial Machine Learning
Publisher: John Wiley & Sons INC International Concepts
Subject: Computer Science, Finance, Machine learning, disruptive technology, Machine Theory & AI
Publication Year: 2018
Type: Textbook
Format: Hardcover
Language: English
Item Height: 238 mm
Author: Marcos Lopez De Prado
Level: Advanced
Item Weight: 726 g
Item Width: 155 mm
Number of Pages: 400 Pages
