Machine Learning Examples The Self Driving Google Car
Fraud Detection
Web Search Results
Credit Scoring
Pattern Recognition
Social listening applications
Market pricing models
Text-based Prediction of sentiment analysis success and failures Online recommendation or offers on big eCommerce sites (Amazon, Netflix)
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Cool Learning Examples
The following examples might help you understand machine learning a bit better.
Speech Recognition – Siri & Cortana SIRI: Siri uses various technologies, including question analysis, natural language processing, machine learning, and data mashups. CORTANA: Cortana is an advanced business intelligence (BI) analytics suite; a data storage package that includes information management system, business intelligence software, machine learning, all wrapped up in a monthly service subscription.
Face Recognition Face Recognition uses machine learning (Facebook’s algorithms) to recognise familiar faces in your friends’ list. It’s pretty amazing, and it can do it because it is a form of adaptive technology.
Detecting Fraud within banks is another Machine Learning Example, let’s explorer in depth how PayPal uses Machine Learning.
Risk management algorithms PayPal currently uses several main types of algorithms to manage risk. All of them pertain to machine learning: long, deep learning and neural network. The company has learned over the years that the most efficient approach to combat fraud is to use them all at once. Linear algorithms are the norm, and it is a well-established practice at PayPal.
Deep learning Deep Learning is a technology that powers speech recognition, computer vision, and numerous other applications. In layman’s terms, the company gathers huge quantities of data about its customers, including financial data, network information, and machine information. It uses the data to feed the deep learning beast.
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