viii machine learning frameworks nosql databases scheduling tools benchmarking tools system deployment service programming security an introductory working example of hadoop summary the data science process overview of the data science process don' be slave to the process step defining research goals and creating project charter spend time understanding the goals and context of your research create project charter step retrieving data start with data stored within the company don' be afraid to shop around do data quality checks now to prevent problems later step cleansingintegratingand transforming data cleansing data correct errors as early as possible combining data from different data sources transforming data step exploratory data analysis step build the models model and variable selection model execution model diagnostics and model comparison step presenting findings and building applications on top of them summary machine learning what is machine learning and why should you care about it applications for machine learning in data science where machine learning is used in the data science process python tools used in machine learning