Thompson J. Data for All (MEAP v4) 2022

Textbook in PDF format

Take control of your personal data. Learn how companies manipulate and exploit your data and what you can do to access, delete, and monetize it yourself.
Both a handbook and a manifesto, Data for All is a must-read for anyone who wants to take control of their personal data. It lays out how businesses collect, use, and exploit your data, and clearly explains the legislation that will overturn the existing system. Follow John Thompson’s direct and accessible guidance and you’ll completely change your relationship with your data.
In this fascinating book, you will learn how to oversee who accesses your data, how much different types of data are worth, and how to keep private details private. You’ll soon stop being a passive source of free data, and start earning a “data dividend”—hundreds or thousands of dollars paid out simply for your daily online activities.
Data scientists bring together multiple sources of related data to create a model or models that produces results that are as close as possible as to how the world actually works. That is the primary objective of predictive analytics, to build a model or a stream of models, that takes data and predicts as accurately as possible what the future of that business process or business environment will look like. Data scientists bring these data sets together and create features that feed into models. Features can be raw or natural data, aggregated data, derived data, synthetic data, or any combination of all the varying types of data that we have discussed. The goal of predictive analytics is to predict what will happen in the future with the best possible accuracy