Finance is a very data-heavy profession, and machine learning focuses on processing and categorizing vast amounts of that data efficiently. Machine learning in finance can help organizations process raw data, find trends and create data models surrounding financial products. Machine learning (ML) is one of the most impactful technological advances of the past decade, affecting almost every single industry and discipline.
Modern DL algorithms deliver error-free performance, so the industry came to the state when no machine learning technique works without the Deep Learning function. Using these two terms interchangeably isn’t always right, however, DL fully belongs to the ML stack, so there’s not much of a mistake to call a Deep Learning network a Machine Learning one. At the same time, Machine Learning can be implemented without artificial neural networks, as it used to be decades ago, so watch the network structure before going for DL term.
