Monthly Subscription Starting at AED 99 + VAT

Machine Learning for Investment Professionals

عن

This course is uniquely tailored to the needs of investment professionals or those with investment industry knowledge who want to develop a basic, practical understanding of machine learning techniques and how they are used in the investment process. Incorporating real-life case studies, this course covers both the technical and the “soft skills” necessary for investment professionals to stay relevant. In this course, you will learn how to: - Distinguish between supervised and unsupervised machine learning and deep learning - Describe how machine learning algorithm performance is evaluated - Describe supervised and unsupervised machine learning algorithms and determine the problems they are best suited for - Describe neural networks, deep learning nets, and reinforcement learning - Choose an appropriate machine learning algorithm - Describe the value of integrating machine learning and data projects in the investment process - Work with data scientists and investment teams to harness information and insights from within large and alternative data sets - Apply the CFA Institute Ethical Decision-Making Framework to machine learning dilemmas This course is part of the Data Science for Investment Professionals Specialization offered by CFA Institute.

Auto Summary

"Machine Learning for Investment Professionals" is a foundational course designed for those in the investment industry aiming to gain practical knowledge of machine learning. Delivered by Coursera and part of CFA Institute's Data Science for Investment Professionals Specialization, the course spans 1020 minutes and includes real-life case studies. Learners will explore supervised and unsupervised learning, algorithm evaluation, neural networks, and the integration of machine learning in investment processes. Subscription options include Starter and Professional plans, making it accessible for a broad audience.