Description: Deep Learning for Finance : Creating Machine & Deep Learning Models for Trading in Python, Paperback by Kaabar, Sofien, ISBN 1098148398, ISBN-13 9781098148393, Like New Used, Free shipping in the US Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. Sofien Kaabar—financial author, trading consultant, and institutional market strategist—introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this uniqu presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. Understand and create machine learning and deep learning modelsExplore the details behind reinforcement learning and see how it's used in time seriesUnderstand how to interpret performance evaluation metrics Examine technical analysis and learn how it works in financial marketsCreate technical indicators in Python and combine them with ML models for optimizationEvaluate the models' profitability and predictability to understand their limitations and potential
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Location: Jessup, Maryland
End Time: 2024-10-26T16:05:19.000Z
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Book Title: Deep Learning for Finance : Creating Machine & Deep Learning Mode
Number of Pages: 359 Pages
Publication Name: Deep Learning for Finance : Creating Machine and Deep Learning Models for Trading in Python
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2024
Item Height: 0.8 in
Subject: Data Modeling & Design, Finance / General, Computer Vision & Pattern Recognition
Item Weight: 22.6 Oz
Type: Textbook
Author: Sofien Kaabar
Item Length: 9.1 in
Subject Area: Computers, Business & Economics
Item Width: 7.3 in
Format: Trade Paperback
