In the context of this lesson, what are some ways that machine learning is applied in the present?
Although it is not quite 2049 yet, as in the exercise’s narration, the applications of machine learning are already impacting the world. Facial recognition has been around for some time and is constantly becoming more accurate. Self-driving cars, and in the near future self-driving flying cars, are already a reality and improving every year. Furthermore, recommendation engines have been applied in video streaming services, social networks, and e-commerce sites, and is getting more precise.
In addition to these, machine learning applies to many other areas. This includes healthcare, such as for the identification of illnesses based on patterns in symptoms. GPS navigation systems utilize machine learning to predict traffic patterns and provide the best routes. Email services utilize machine learning to identify spam or malware. In addition, virtual assistants such as Google Home, Amazon Alexa, and Apple’s Siri apply machine learning to learn user preferences in order to better assist them.