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Machine learning in a Nutshell

you start with the data that contains patterns. you can feed that data to the machine learning algorithm (may be more algorithms) to find the patterns in the data .This algorithm generates something called a model.Model functionality is to recognizes the patterns then presented with the new data. Application supplies new data to see if it matches known patterns such as the data about new transactions. The model can determine the probability whether the transaction is fraudulent or not, it knows that because of the patterns.      Machine learning lets us find patterns in existing data, then create and use a model that recognizes those patterns in new data Machine learning has gone mainstream - big vendors think there's big money in this market      Machine learning can probably help your organization.

Understanding machine learning

What is machine learning does?  It Finds patterns in data and uses those patterns to predict the future.          EXAMPLES :  Detecting credit card fraud : You can use machine learning  detect credit card fraud, Suppose you have data about previous credit card transactions. You could find patterns in that data potentially  that allows you to detect when a new credit card transaction is likely to be fraudulent. Determining whether a customer is likely to switch to a competitor :  You could possibly find the patterns in the existing customer data that will help you do that Lots more What does it mean to learn ? Yes it's something like your own learning process. You have learned reading,listening, walking everything by using your experience on it, the data you have in your mind and continuous improvements.  How did you learn to read? Well learning requires identifying patterns. Reading for instance you identifies letters and then the patterns of the le