A Common-Sense Guide to AI Engineering

Go from messy, unstructured artifacts stored in SQL and NoSQL databases

to a neat, well-organized dataset with this quick reference for the busy

data scientist. Understand text mining, machine learning, and network

analysis; process numeric data with the NumPy and Pandas modules;

describe and analyze data using statistical and network-theoretical

methods; and see actual examples of data analysis at work. This one-stop

solution covers the essential data science you need in Python.