The hidden horse power driving Machine Learning models


Machine Learning is becoming the only real available method to perform many modern computational tasks in near real time. Machine Vision, speech recognition and natural language processing have all proved difficult to crack with out ML techniques. When it comes to hardware, the tasks themselves do not need a great deal of computational power; but training the machine does – not to mention an awful lot of data. In the machine learning world, the more data you have the more accurate your ML model can be. Of course the more data you have the longer the training process will take.