This article, published in the Alternative Investment Analyst Review, describes how a method of Machine Learning, Kohonen’s Self-Organizing Maps, can be applied to visualize risk and to build robust portfolios of hedge fund managers. Essentially, it documents a feasibility study that was conducted to gauge whether Machine Learning can add any value to the investment process of an investor in hedge funds.