AI, ML & Deep Learning – Differences Explained by Experts

Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) – these are the three trending buzzwords that have created a great hype over the Internet and other media platforms for some time now. Irrespective of whether people hold a sound knowledge of the data science or not, everyone is actively making their own statements explaining the differences between these technologies, which thereby creating a mysterious situation for the newbies and laymen to understand the true differences between them. To make the things easy, this article will initially explain "what AI, ML, and DL are?", and later discusses the key differences between them. The definition of AI as per Wikipedia is – "the intelligence demonstrated by the In simple words, Artificial Intelligence (AI) can be referred as the'skill for a machine to exhibit its intelligent behavior'. Machine Learning as found in the Wikipedia is "the sub-field of computer science that gives computers the skill to learn without being explicitly programmed". Machine learning in simple words can be stated as'the ability of a machine to learn and achieve intelligence'. According to Wikipedia, "Deep Learning is a subset of Machine Learning, Deep learning is one of the best machine learning techniques that resembles how the human brain works (neural networks).