Machine learning is what?
In summary, it is to use existing data, to train some kind of model, use this model to predict the future.
Machine learning is at the heart of artificial intelligence. The purpose is to let the machine like people to predict the future by the past experience
Existing data (experience)
Some models (late of the law)
Using this model to predict the future (if late)
Machine learning data is king thought
Machine to imitate people, new things to predict
So why use a machine to learn?
Because want computing power, fast help people to sum up the corresponding law,
To use the machine learning, data should be very well documented, better data extracted from a lot of data to provide to the algorithm, this concept is called feature works. Subsequent re-detail
So which algorithm to use more efficient, the resulting data meaningful, more accurate, this is the content of the relevant algorithm tuning.