Machine Learning in Finance豆瓣评分:0.0 简介:This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as fin
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practical in approach, Machine Learning for Finance will help you to apply machine learning in all parts of a financial organization’s infrastructure. If you work or plan to work in fintech, and want to gain one of the most valuable skills in the sector today, this book is for you. ...
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To get the most out of this book Get in touch Chapter 1. Neural Networks and Gradient-Based Optimization Our journey in this book What is machine learning? Supervised learning Unsupervised learning Reinforcement learning Setting up your workspace Using Kaggle kernels Using the AWS deep learning AMI...
简尼斯.克拉斯(Jannes Klaas)是一名拥有金融学和经济学背景的量化分析师。他曾主导过两个机器学习训练营项目,也同研发数据驱动类应用的公司和交易策略类公司有过合作。目前,他的研究领域包括系统风险和大规模自动化的知识挖掘。 我要写书评 Machine Learning for Finance的书评 ···(全部 0 条) 论坛· ...
This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various disciplines in quantitative finance, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financia
作者:Deepak Kanungo 出版社:O'Reilly Media 副标题:A Primer to the Next Generation of AI with Python 出版年:2023-10-3 页数:200 定价:USD 79.99 装帧:Paperback ISBN:9781492097679 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到 ...
Financial Machine Learning as a Distinct Subject PART 1 DATA ANALYSIS 2. Financial Data Structures 3. Labeling 4. Sample Weights 5. Fractionally Differentiated Features PART 2 MODELING 6. Ensemble Methods 7. Cross-Validation in Finance 8. Feature Importance ...