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所在平台: Coursera专项课程 课程类别: 其他类别 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/machine-learning-trading
课程评论：没有评论
**机器学习交易专业化课程总结** 这个专业化课程专为金融专业人士设计，包括对冲基金交易员、分析师、日间交易员、投资管理或投资组合管理的参与者，以及希望深入了解如何利用机器学习构建有效交易策略的任何人。此外，这个专业化也适合那些希望将机器学习技术应用于定量交易策略的机器学习专业人士。 课程将教授如何使用Python创建多种交易策略。完成此专业化后，您将能够设计长期交易策略、短期交易策略和对冲策略。 成功参与此专业化课程，您需具备Python编程的基础能力，并熟悉相关的机器学习库，例如Scikit-Learn、StatsModels和Pandas。另外，拥有SQL经验将会有助于学习。统计学基本知识（如期望值、标准偏差、高斯分布、概率、线性回归）和金融市场背景知识（如股票、债券、衍生品、市场结构和对冲）也是必要的。 **课程大纲：** 1. **交易、机器学习与GCP简介** - 由谷歌云和纽约金融学院提供，学习交易基础知识。 - 课程链接: [介绍课程](https://www.coursera.org/learn/introduction-trading-machine-learning-gcp) 2. **在交易和金融中使用机器学习** - 该课程为开发高级交易策略奠定基础。 - 课程链接: [机器学习在交易中的应用](https://www.coursera.org/learn/machine-learning-trading-finance) 3. **交易策略的强化学习** - 是机器学习交易专业化课程的最后一门，集中在强化学习应用。 - 课程链接: [强化学习交易策略](https://www.coursera.org/learn/trading-strategies-reinforcement-learning) 通过这门专业化课程，您将掌握使用机器学习构建和优化交易策略的技能，提升您在金融交易领域的竞争力。
Course Link: https://www.coursera.org/learn/introduction-trading-machine-learning-gcp
Name:Introduction to Trading, Machine Learning & GCP
Description:Offered by Google Cloud and New York Institute of Finance. In this course, you’ll learn about the fundamentals of trading, including the ... Enroll for free.
Course Link: https://www.coursera.org/learn/machine-learning-trading-finance
Name:Using Machine Learning in Trading and Finance
Description:Offered by Google Cloud and New York Institute of Finance. This course provides the foundation for developing advanced trading strategies ... Enroll for free.
Course Link: https://www.coursera.org/learn/trading-strategies-reinforcement-learning
Name:Reinforcement Learning for Trading Strategies
Description:Offered by Google Cloud and New York Institute of Finance. In the final course from the Machine Learning for Trading specialization, you ... Enroll for free.
This Specialization is for finance professionals, including but not limited to: hedge fund traders, analysts, day traders, those involved in investment management or portfolio management, and anyone interested in gaining greater knowledge of how to construct effective trading strategies using Machine Learning. Alternatively, this specialization can be for machine learning professionals who seek to apply their craft to quantitative trading strategies. The courses will teach you how to create various trading strategies using Python. By the end of the Specialization, you will be able to create long-term trading strategies, short-term trading strategies, and hedging strategies. To be successful in this Specialization, you should have a basic competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL will be helpful. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging).
机器学习的交易专业知识：该专业知识是针对金融专业人士的，包括但不限于：对冲基金交易员，分析师，日间交易员，参与投资管理或投资组合管理的人员，以及对如何构建有效交易有更多了解的人士使用机器学习的策略。或者，此专业可以用于希望将自己的技术应用于定量交易策略的机器学习专业人员。 这些课程将教您如何使用Python创建各种交易策略。在专业化结束时，您将能够创建长期交易策略，短期交易策略和对冲策略。 为了成功获得此专业化知识，您应该具备Python编程的基本能力，并且熟悉相关的机器学习库，例如Scikit-Learn，StatsModels和Pandas。有SQL经验会有所帮助。您应该具有统计学背景（期望值和标准偏差，高斯分布，高阶矩，概率，线性回归），以及金融市场的基础知识（股票，债券，衍生产品，市场结构，对冲）。