Financial industry and trading - companies use ML in fraud investigations and credit checks.Medical diagnoses - ML is trained to recognize cancerous tissues.It can also be used a simple data entry and the preparation of structured documents. Voice user interfaces include voice dialing, call routing, and appliance control. Speech Recognition - It is the translation of spoken words into the text.There is a separate category for each person in a database of several people. Image recognition - Machine learning can be used for face detection in an image as well.Considering the loan example, to compute the probability of a fault, the system will need to classify the available data in groups. Prediction - Machine learning can also be used in the prediction systems.But there are much more examples of ML in use. For example, a wearable fitness tracker like Fitbit, or an intelligent home assistant like Google Home.
You may already be using a device that utilizes it. Machine Learning is used anywhere from automating mundane tasks to offering intelligent insights, industries in every sector try to benefit from it.
We have seen Machine Learning as a buzzword for the past few years, the reason for this might be the high amount of data production by applications, the increase of computation power in the past few years and the development of better algorithms. Introduction to Machine Learning for Beginners
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