This course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering to market orders. The focus is on how to apply probabilistic machine learning approaches to trading decisions. We consider statistical approaches like linear regression, KNN and regression trees and how to apply them to actual stock trading situations.
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Offered at Georgia Tech as CS 7646
This comprehensive Machine Learning for Trading curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Machine Learning for Trading course:
Beginner-Friendly Course!
This course is designed for absolute beginners. No prior knowledge needed.
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Difficulty Level
Intermediate
Some foundational knowledge required
Subject Category
Artificial Intelligence
Part of our Artificial Intelligence curriculum
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
View Current Pricing
Check provider for latest offers
Pricing may vary. Check the course provider for current promotions and exact pricing.
Machine Learning for Trading isn't for you? Don't worry, explore these courses and advance your skills or learn something totally new.
