Welcome to CFI’s Applied Machine Learning Algorithms Course. The world of finance is changing and now is the time to invest. The skillsets of investment bankers, asset managers, sales and trading professionals are all rapidly evolving. Developing a skillset in machine learning is essential if you want to progress.
CFI has partnered with Machine Learning Edge to bring to you a unique course on the applied machine learning algorithms for finance professionals. This course will utilize the knowledge you learned from the Python Fundamentals course to build machine learning investor classifiers. We are going to explore real case studies from investment banking and capital markets applications that are being used today to advise Fortune 500 companies all over the world.
These preparatory courses are optional, but we recommend you to complete the stated prep course(s) or possess the equivalent knowledge prior to enrolling in this course:
This course will demonstrate how machine learning algorithms are used in the finance industry. By the end of the course you will be able to:
This Applied Machine Learning Algorithms course is for finance professionals who have the foundational knowledge of Python and machine learning. This is an advanced course that applies machine learning to build investor classifiers and solve real problems in the world of finance that are going to advance your career. It is designed for professionals in sales and trading, investment banking, capital markets, asset management, treasury management, corporate development, FP&A, or students working towards a career in these areas.
This Applied Machine Learning Algorithms course is the second of two courses in the Machine Learning for Finance program provided by CFI and Machine Learning Edge. This program will teach you how to use machine learning to solve real-world problems in finance and investing. The projects you’ll complete are modeled after real, patented algorithms that are being used today to advise Fortune 500 companies on investment banking and capital market decisions.
By the end of the program, you’ll be able to recognize opportunities to solve problems using machine learning in your immediate environment. You will be able to determine the best type of machine learning algorithms for any problem. And you will be able to design original applications using machine learning algorithms such as regression algorithms, and classification algorithms.