Special Edition Data Science Interview Questions Solved in Python and Spark: with Deep Learning and Reinforcement Learning bonus topics in Keras (BigData and Machine Learning in Python and Spark): Antonio Gulli: 9781534795716: Amazon.com: Books

And why is it useful for BigData? 29 Why are statistical distributions important? What is a training set, a validation set, a test set and a gold set in supervised and unsupervised learning? What is a cross-validation and what is an overfitting? Can you provide an example for Map and Reduce in Spark? What is a loss function, what are linear models, and what do we mean by regularization parameters in machine learning?