Foundations of Machine Learning | Bloomberg Edu

Comprehensive machine learning course covering a wide range of topics, designed to provide a deep understanding of fundamental concepts and techniques.

Introduction

Bloomberg presents "Foundations of Machine Learning," a training course that was initially delivered internally to the company's software engineers as part of its "Machine Learning EDU" initiative. This course covers a wide variety of topics in machine learning and statistical modeling. The primary goal of the class is to help participants gain a deep understanding of the concepts, techniques and mathematical frameworks used by experts in machine learning.

Highlights

• Covers a wide range of topics in machine learning and statistical modeling
• Designed to make valuable machine learning skills more accessible to individuals with a strong math background
• Includes a complete set of homework assignments with theoretical and implementation challenges
• Serves as a foundation for more specialized courses and further independent study

Recommendation

This course is recommended for software developers, experimental scientists, engineers, and financial professionals with a solid mathematical background, including linear algebra, multivariate differential calculus, probability theory, and statistics. It provides a deep understanding of the fundamental concepts and techniques used in machine learning, making it a valuable resource for those looking to expand their skills in this field.