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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/statistics-machine-learning-investment
课程评论：没有评论
课程名称：投资专业人士的机器学习统计学 概述：在过去十年中，机器学习、人工智能和大数据在投资决策中的快速应用是一个重大变化。本课程旨在为具备投资行业知识的学习者介绍基础统计概念，这些概念是机器学习和先进人工智能技术的基础。课程展示了核心建模框架，并结合精心挑选的现实投资实践示例。还帮助学习者熟悉两种重要编程语言——Python和R（不需要先前的Python或R知识）。课程的目的是展示简单编程在投资决策过程中的优雅与快速。课程阅读材料提供来自CFA协会博客和其他领先出版物的实践见解。 学习后您将能够： - 描述识别信息模式对模型构建的重要性 - 解释解决投资问题的概率概念 - 解释线性回归的使用，并解读相关的Python和R代码 - 描述梯度下降，解释逻辑回归，并解读Python和R代码 - 描述时间序列模型的特征和用途 本课程是CFA协会数据科学为投资专业人士专业化的一部分。 课程大纲： 1. 数据与模式 2. 随机性与概率 3. 线性回归 4. 高级回归概念 5. 时间序列分析 6. 期末评估
Part: 1
Title:Data and Patterns
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Part: 2
Title:Randomness and Probability
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Part: 3
Title:Linear Regression
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Part: 4
Title:Advanced Regression Concepts
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Part: 5
Title:Time-Series Analysis
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Part: 6
Title:Final Assessment
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One of the biggest changes in the past decade is the rapid adoption of machine learning, AI, and big data in investment decision making. This course introduces learners with knowledge of the investment industry to foundational statistical concepts underpinning machine learning as well as advanced AI techniques. This course demonstrates core modeling frameworks along with carefully selected real-world investment practice examples. The course seeks to familiarize learners with two important programming languages — Python and R (no prior knowledge of Python or R necessary). The motivation is to demonstrate the elegance — and speed — simple programming brings to the investment decision-making process. The reading material in this course offers in-practice insights curated from the blogs of CFA Institute as well as other leading publications. After taking this course you will be able to: - Describe the importance of identifying information patterns for building models - Explain probability concepts for solving investing problems - Explain the use of linear regression and interpret related Python and R code - Describe gradient descent, explain logistic regression, and interpret Python and R code - Describe the characteristics and uses of time-series models This course is part of the Data Science for Investment Professionals Specialization offered by CFA Institute.
