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 letters together to form words you then had to recognize those patterns when you see them again, that's all learning means Just like you learned to read. This is what machine learning does with the data that we provide.

Where Comes ML

We have enough data that the humans just can't find the patterns it uses software that's where machine learning comes in.