Machine Learning and Reinforcement Learning in Finance Specialization

开始时间: 12/21/2023 持续时间: Approximately 4 months to complete Suggested pace of 5 hours/week

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

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课程详情

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。

课程大纲

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.

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课程简介

金融中的机器学习和强化学习(Machine Learning and Reinforcement Learning in Finance Specialization), 这个系列包含4门子课程,主要目标是为金融相关的机器学习核心范式和算法奠定坚实的基础而提供必要的知识和实战技能,特别关注机器学习在金融投资中不同的实际问题中的应用。 感兴趣的同学可以关注:Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.

课程标签

金融 机器学习 强化学习 量化投资

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