This is The Machine Learning Age – These Examples Show Why

"A breakthrough in Machine Learning would be worth ten Microsofts." – Bill Gates Machine Learning has been defined, by Arthur Samuel, as "A Field of study that gives computers the ability to learn without being explicitly programmed." In essence, the approach draws upon the tremendous computing power at the disposal of today's "machines" to compare vast amounts of data and iteratively improve decision making from instance to instance as more and more data gets available, and analysed. Clearly data is not in short supply today – there are more than enough scarily large numbers floating around to drive home that point adequately. This availability of data and a desire to leverage it is driving the market for Machine Learning northwards. BCC Research estimated that by 2019 this would reach $ 15.3 Billion, growing at close to 20% annually on average.