The cold start problem: how to build your machine learning portfolio

The article discusses the 'cold start problem' in the context of building a machine learning portfolio. This suggests a focus on practical challenges faced by individuals starting in the field, likely offering advice on how to overcome the lack of existing projects or experience. The title implies a problem-solving approach, potentially covering topics like project selection, data acquisition, and showcasing skills.