TensorFlow is an end-to-end open source platform for machine learning. TensorFlow is a rich system for managing all aspects of a machine learning system; however, this class focuses on using a particular TensorFlow API to develop and train machine learning models
We draw examples independently and identically (i.i.d) at random from the distribution. In other words, examples don't influence each other. (An alternate explanation: i.i.d. is a way of referring to the randomness of variables.)
The distribution is stationary; that is the distribution doesn't change within the data set
We draw examples from partitions from the same distribution
I will continue to work on Google's Machine Learning Crash Course