Coursera MOOC / Non-credit 0

Machine Learning and Reinforcement Learning in Finance

Name: Machine Learning and Reinforcement Learning in Finance
Price: 49 USD
Availability: InStock

New York University

About this course

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.

90/100

CourseAsk score

What the provider tells you: 39/45
Who stands behind it: 35/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

Map financial problems to appropriate machine learning methods
Select ML approaches suited to specific finance use cases
Implement machine learning solutions for financial applications
Assess the performance of ML models in finance contexts
Apply reinforcement learning techniques to financial problems

Course objectives

Develop a strong foundation in core machine learning paradigms and algorithms
Gain practical skills for solving ML problems in finance
Learn to evaluate and choose between different ML approaches for financial applications

Machine Learning Financial Analysis #algorithmic trading #quantitative finance #reinforcement learning #python #risk management #machine learning #model evaluation #predictive modeling #unsupervised learning #financial modeling #portfolio optimization #time series analysis #asset management #supervised learning

$49.00

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