Allowing Computers to learn from Data : Gold of 21st Century

As a Data scientist, I think that machine learning, the application and science of algorithms that can make sense of data, are the most exciting of all the fields within computer science. As a society, we are living in a time when data is abundant and we can turn this data into knowledge by using self-learning algorithms from the field of machine learning. The plethora of powerful open source algorithms that have been developed in recent years has made now our best time ever to learn more about machine learning and learn how to use them to spot patterns in data and anticipate future events was probably not the case before many useful open source libraries were created. Despite the fact that we live in an age of modern technology, there is one resource that is plenty available to anyone: a large amount of structured and unstructured data. A subfield of artificial intelligence that evolved in the second half of the 20th century was machine learning.