The Biggest Examples of Machine Learning – Part 1

Smart machines and applications are steadily becoming a daily phenomenon, helping us make faster, more accurate decisions. The role of AI and machine learning is set to increase dramatically over the next five years, with more than 75 percent of businesses investing in Big Data. Organizations are spending almost 15 percent of their IT budget on machine learning capabilities. Let us take a look at some of the biggest applications of Machine Learning currently live in the market.

Siri and Cortana

Siri and Cortana are voice recognition systems that use machine learning and deep neural networks to imitate human interaction. These apps will learn to ‘understand’ the nuances and semantics of our language as the human interaction progresses.

Facebook

Facebook’s algorithm recognizes familiar faces from your contact list, using some seriously impressive machine learning and AI technology. DeepFace is behind Facebook’s machine learning facial recognition software. It can recognise the differences in human faces with a 97.25% degree of accuracy.

Google Maps

Google Maps got the taste of Machine Learning in 2017. These deep learning algorithms help the app extract street names and house numbers from photos taken by Street View cars and increase the accuracy of search results.

Google Search

Google introduced RankBrain which a machine learning algorithm used to decipher the semantic content of a search query in 2015. RankBrain identifies the intent behind a user’s search and offers them tailored information on that particular topic through the use of an intuitive neural network.

This is just the tip of the iceberg. Keep watching this space for more.