Guided Tour of Machine Learning in Finance

סקירה כללית

Dive into the intersection of technology and finance with Guided Tour of Machine Learning in Finance, an introductory course designed to offer a broad overview of machine learning (ML) with a focus on financial applications. Offered by HEC Paris and available on Coursera, this course is perfect for practitioners in financial institutions, day traders looking to apply ML to their trading strategies, and students from a variety of disciplines, including Finance, Statistics, Computer Science, Mathematics, Physics, and Engineering, who are keen on exploring how ML can solve diverse financial problems.

Through a capstone project using Supervised Machine Learning methods to predict bank closures, participants will gain hands-on experience.

While it can be taken as a standalone course, it also introduces learners to deeper topics covered in the specialization on Machine Learning and Reinforcement Learning in Finance. The goal is to provide learners with an understanding of what Machine Learning is, its purpose, and its application in a myriad of financial scenarios.

Prerequisites for this course include experience with Python (notably numpy, pandas, and IPython/Jupyter notebooks), linear algebra, basic probability theory, and basic calculus to successfully complete the assignments. Join this course to navigate the evolving landscape of finance with the power of machine learning.

Categories:

Machine Learning Courses, Fintech Courses, Finance Courses.

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נלמד על ידי

Igor Halperin

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נושאים