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Deep Learning for Finance Creating Machine & Deep Learning Models for Trading in Python - Sofien Kaabar 2024 PDF | EPUB O’Reilly Media, Inc. BOOKS
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Deep Learning for Finance Creating Machine & Deep Learning Models for Trading in Python
Author: Sofien Kaabar
Year: 2024
Format: PDF | EPUB
File size: 16.0 MB
Language: ENG



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Book Description: The book "Deep Learning for Finance" provides a comprehensive introduction to deep learning techniques and their applications in finance, using Python programming language. The book covers the basics of deep learning, including neural networks, convolutional neural networks, recurrent neural networks, and reinforcement learning, and shows how these techniques can be applied to trading and investment strategies. It also discusses the challenges of implementing deep learning models in real-world financial settings and provides practical advice for overcoming these challenges. --- Book Title: Deep Learning for Finance - Creating Machine Learning Models for Trading in Python Introduction: In today's fast-paced and rapidly evolving world of technology, it is essential to stay up-to-date with the latest advancements in machine learning and deep learning to remain competitive in the finance industry. This book provides a comprehensive guide to deep learning techniques and their applications in finance, using the Python programming language.
В книге «Deep arning for Finance» представлено всестороннее введение в методы глубокого обучения и их применение в финансах с использованием языка программирования Python. Книга охватывает основы глубокого обучения, включая нейронные сети, сверточные нейронные сети, рекуррентные нейронные сети и обучение с подкреплением, и показывает, как эти методы могут быть применены к торговым и инвестиционным стратегиям. В нем также обсуждаются проблемы внедрения моделей глубокого обучения в реальных финансовых условиях и даются практические советы по преодолению этих проблем. - Book Deep arning for Finance - Creating Machine arning Models for Trading in Python Введение: В современном быстро развивающемся мире технологий важно быть в курсе последних достижений в области машинного обучения и глубокого обучения, чтобы оставаться конкурентоспособным в финансовой индустрии. Эта книга содержит исчерпывающее руководство по методам глубокого обучения и их применению в финансах, используя язык программирования Python.
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