August 2022
Intermediate to advanced
394 pages
12h 32m
Chinese
Content preview from 金融人工智能：用Python实现AI量化交易
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人工智能
｜
25
这是由于多种原因造成的。这里仅举几个例子。首先是有效特征空间。并非每种模式都是
实际存在的，有些模式可能根本不存在，或者完全不实际。其次是特征重要性。并非所有
特征都是同等重要的，我们可以据此减少有效特征的数量，从而减少可能的模式数量。最
后是特征冗余值。例如，编号为
7
的特征取值为
4
或
5
时可能根本没有区别，从而进一步
减少了相关模式的数量。
1.4
结论
在本书中，人工智能包含能够从数据中学习诸如关系、规则、概率的方法，技术，算法
等。本书重点关注监督学习算法，比如用于估计和分类的算法。在算法方面，核心是神经
网络和深度学习方法。
本书的核心主题是将神经网络应用于金融领域的一个核心问题：对未来市场走势的预测。
更具体地说，问题可能是预测股票指数或货币对的汇率变动方向。对未来市场方向的预测
（目标水平或价格是上涨还是下跌）可以轻松转换为分类问题。
在深入探讨核心主题之前，第
2
章首先讨论与
超级智能
和
技术奇点
相关的一些主题。该讨
论将为后续侧重于金融和人工智能在金融领域的应用的章节提供有用的背景知识。
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and much more.
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.