language processing house on which they had a effectively unlimited source of label data and they trained for learning algorithms and plotted on the x-axis is a training set size parts on the y-axis is the performance is the accuracy all the algorithms do about the same is the amount of data you have and even a quote superior algorithm often lose to a quote inferior algorithm if only you can give the inferior algorithm or data to train on yeah so I think this results like these that has led to this Maxim in machine learning