With the application of big data and artificial intelligence technology in the financial industry, machine learning has become an important skill for investment bankers. There are many free machine learning courses and resources on the Internet that investment banking practitioners can use to improve their machine learning skills.
UC Berkeley and HKU Provide Excellent Free Machine Learning Courses
UC Berkeley and The University of Hong Kong have good reputation in machine learning and both provide excellent free machine learning courses on YouTube. These comprehensive video courses teach basic machine learning concepts and common algorithms such as linear regression, neural networks, etc. Investment bankers can audit these courses to establish a system for machine learning.
Kaggle Machine Learning Competitions
Kaggle hosts machine learning competitions where companies and researchers post data and problems then compete to develop the best models. Participating in Kaggle competitions allows investment bankers to practice solving real-world machine learning problems. The discussions forums also provide opportunities to learn from other practitioners.
Github Repositories
There are many Github repositories that share machine learning algorithms, models, and tutorials for various applications. These repositories allow readers to directly access code examples of machine learning projects. Investment bankers can leverage these repositories to expand their toolkit.
Applications of Machine Learning in Investment Banks
Major applications of machine learning in investment banks include algorithmic trading, risk management, client targeting, etc. For example, natural language processing can help relationship managers analyze client documents and emails to understand their needs and preferences so more customized solutions and offerings could be provided.
In summary, there are ample quality machine learning courses, competitions, repositories and real-world applications that investment bankers can leverage to improve their machine learning skills, which will boost their capabilities and value to investment banks in the era of artificial intelligence.