May 2024
Intermediate to advanced
408 pages
6h 8m
Chinese
Content preview from 金融中的机器学习Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.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.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.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.
结束语
至此，我们读完了本书的最后一章。让我们回顾一下从开始到现在所学过的内容。
在过去的10章中，我们涵盖了很多内容，包括：
- 基于梯度下降的优化；
- 特征工程；
- 基于树的方法；
- 计算机视觉；
- 时间序列模型；
- 自然语言处理；
- 生成模型；
- 调试机器学习系统；
- 机器学习中的道德因素；
- 贝叶斯推理。
在每一章中，我们给出了一系列实用技巧和建议，这将让你能够构建改变金融业的先进系统。
然而，在许多方面，我们只是介绍了“皮毛”。每章的主题都值得用一本书来介绍，即使那样也无法充分涵盖金融领域机器学习的所有内容。
最后给你留下这样一个观点：金融领域的机器学习是一个令人兴奋的领域，在这个领域仍然有很多值得探索的内容。因此，敬爱的读者，请不断前行。远方还有模型需要训练，有数据需要分析，有推断需要去处理。
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.