Changes

| 1990s || "1990s: Unsupervised deep learning"<ref name="import.ioe"/> "Thanks to statistics, machine learning became very famous in 1990s. The intersection of computer science and statistics gave birth to probabilistic approaches in AI. This shifted the field further toward data-driven approaches."<ref name="provalisresearch.coms">{{cite web |title=A BRIEF HISTORY OF MACHINE LEARNING |url=https://provalisresearch.com/blog/brief-history-machine-learning/ |website=provalisresearch.com |accessdate=21 February 2020}}</ref> "In the early 90’s Machine Learning became very popular again due to the intersection of Computer Science and Statistics"<ref name="mlplatform.nlt">{{cite web |title=What is Machine Learning? |url=https://mlplatform.nl/what-is-machine-learning/ |website=mlplatform.nl |accessdate=25 February 2020}}</ref> " Work on machine learning shifts from a knowledge-driven approach to a data-driven approach. Scientists begin creating programs for computers to analyze large amounts of data and draw conclusions — or “learn” — from the results."<ref name="forbes.com"/> Work on machine learning shifts from a knowledge-driven approach to a data-driven approach. Scientists begin creating programs for computers to analyze large amounts of data and draw conclusions — or “learn” — from the results.<ref name="forbes.com"/> "In the 1990s we began to apply machine learning in data mining, adaptive software and web applications, text learning, and language learning."<ref name="medium.comb"/> [[wikipedia:Support vector machines|Support vector machines]] and [[wikipedia:recurrent neural networks|recurrent neural networks]] become popular.