Applied Machine Learning Algorithms Overview
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.
You are expected to have either completed the stated prerequisite course(s) or possess the equivalent knowledge prior to enroling in this course:
Applied Machine Learning Algorithms Learning Objectives
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:
- Identify overfit regression models
- Compare different regularized regression algorithms and decision tree ensemble algorithms
- Explain the confusion matrix and its relation to the ROC curve
- Construct training data sets, testing data sets, and model pipelines
- Perform advanced data cleaning, exploration, and visualization
- Engineer features based on conditional relationships between existing features
- Build and finalize a machine learning classifier
Who Should Take This Applied Machine Learning Algorithms Course?
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.
Machine Learning for Finance Program
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.