Deep Learning and Machine Learning Differences: Recent Views in an Ongoing Debate - DATAVERSITY

The science of Machine Learning (ML) has been around since the 1970s, but low horsepower processors and limited data forced the progress of Machine Learning to slow down in the 1980s. Ever since Big Data has enabled the use of unlimited "variety, volume, and velocity" business data, Machine Learning resurfaced as a powerful game changer in the world of software algorithms. Google's acquisition of UK-based Deep Mind resurrected the struggling field of Deep Learning (DL) and renewed the self-training possibilities of machines. In Deep Learning, smart algorithms can aid computers to learn from one layer of data and apply that learning to the next layer without programming intervention. While Machine Learning encompasses the entire field of learning algorithms, Deep Learning involves specific types of learning models where the human programmer is not required to train computers.