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所在平台: Coursera专项课程 课程类别: 经济与金融 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/machine-learning-reinforcement-finance
课程评论：没有评论
课程名称：金融领域的机器学习与强化学习专业 课程概述：该专业的主要目标是提供必要的知识和实用技能，以便为机器学习（ML）的核心范式和算法奠定坚实的基础，特别关注机器学习在金融领域的实际应用。 该专业旨在帮助学生解决现实生活中可能遇到的适合使用机器学习的问题，包括： 1. 将问题映射到可用的机器学习方法的一般框架； 2. 选择最适合解决特定问题的机器学习方法； 3. 成功实施解决方案并评估其性能。 该专业专为三类学生设计： - 在金融机构（如银行、资产管理公司或对冲基金）工作的从业人员； - 对机器学习在个人日内交易中的应用感兴趣的个人； - 当前全日制攻读金融、统计学、计算机科学、数学、物理学、工程学或其他相关学位的学生，想要学习机器学习在金融中的实际应用。 课程模块可以单独学习，以提高在特定金融应用领域的相关技能。 课程大纲： 1. 《金融领域的机器学习导览》：提供机器学习领域的概述，重点介绍基本概念。 - 课程链接：[访问课程](https://www.coursera.org/learn/guided-tour-machine-learning-finance) 2. 《金融中的机器学习基础》：帮助学生解决实际的机器学习问题。 - 课程链接：[访问课程](https://www.coursera.org/learn/fundamentals-machine-learning-in-finance) 3. 《金融中的强化学习》：介绍强化学习的基本概念，并开发应用。 - 课程链接：[访问课程](https://www.coursera.org/learn/reinforcement-learning-in-finance) 4. 《金融领域强化学习的高级方法概述》：对强化学习高级方法进行全面介绍。 - 课程链接：[访问课程](https://www.coursera.org/learn/advanced-methods-reinforcement-learning-finance) 本专业的设计旨在使学习者能够在金融领域有效应用机器学习和强化学习的知识和技能。
Course Link: https://www.coursera.org/learn/guided-tour-machine-learning-finance
Name:Guided Tour of Machine Learning in Finance
Description:Offered by New York University. This course aims at providing an introductory and broad overview of the field of ML with the focus on ... Enroll for free.
Course Link: https://www.coursera.org/learn/fundamentals-machine-learning-in-finance
Name:Fundamentals of Machine Learning in Finance
Description:Offered by New York University. The course aims at helping students to be able to solve practical ML-amenable problems that they may ... Enroll for free.
Course Link: https://www.coursera.org/learn/reinforcement-learning-in-finance
Name:Reinforcement Learning in Finance
Description:Offered by New York University. This course aims at introducing the fundamental concepts of Reinforcement Learning (RL), and develop use ... Enroll for free.
Course Link: https://www.coursera.org/learn/advanced-methods-reinforcement-learning-finance
Name:Overview of Advanced Methods of Reinforcement Learning in Finance
Description:Offered by New York University. In the last course of our specialization, Overview of Advanced Methods of Reinforcement Learning in Finance, ... Enroll for free.
The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on core paradigms and algorithms of machine learning (ML), with a particular focus on applications of ML to various practical problems in Finance. The specialization aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) mapping the problem on a general landscape of available ML methods, (2) choosing particular ML approach(es) that would be most appropriate for resolving the problem, and (3) successfully implementing a solution, and assessing its performance. The specialization is designed for three categories of students: · Practitioners working at financial institutions such as banks, asset management firms or hedge funds · Individuals interested in applications of ML for personal day trading · Current full-time students pursuing a degree in Finance, Statistics, Computer Science, Mathematics, Physics, Engineering or other related disciplines who want to learn about practical applications of ML in Finance. The modules can also be taken individually to improve relevant skills in a particular area of applications of ML to finance.
金融专业领域的机器学习和强化学习：该专业的主要目标是提供必要的知识和实践技能，以为机器学习（ML）的核心范式和算法奠定坚实的基础，特别是将ML应用于以下领域财务中的各种实际问题。 该专业旨在帮助学生解决现实生活中可能遇到的ML适应问题，包括： （1）将问题映射到可用ML方法的一般情况下， （2）选择最适合解决问题的特定ML方法，以及 （3）成功实施解决方案，并评估其性能。 该专业专为三类学生而设计： ·在银行，资产管理公司或对冲基金等金融机构工作的从业人员 ·对ML用于个人即日交易的申请感兴趣的个人 ·目前正在攻读金融，统计学，计算机科学，数学，物理学，工程学或其他相关学科学位的全日制学生，他们想学习ML在金融中的实际应用。 这些模块也可以单独采用，以提高ML财务应用特定领域的相关技能。
