title: Machine Learning (Car Like Robot)
abstract: Prediction Model and Evaluation. The rationale for choosing a given model should be provided and discussed in detail. What steps were taken in the learning process for the model selection? How was regularization done? What was validation used for? Please provide detailed discussion. Learning Curve, Validation Curves should be provided. The process for selection of various hyper parameters should be detailed. Estimate for the out of sample error from the test data
keyphrases: prediction model, machine learning, model selection, car, robot, evaluation, learning curve, learning process, validation curves, detailed discussion