摘要： To build an effective learning model, it is must to understand the quality issues exist in data & how to detect and deal with it. In general, data quality issues are categories in four major sets.
摘要： Below picture represents the machine learning & data mining process in general. Data cleaning and Feature extraction is the most tedious job but you need to be good at it make your model more accurate.
摘要： Reinforcement learning is a type of machine learning in whicha computer learns to perform a task through repeated trial-and-error interactions with a dynamic environment. This learning approach enables the computer to make a series of decisions that maximize a reward metric for the task without human intervention and without being explicitly programmed to achieve the task.
