Publisher's Synopsis
Learn to:
- Analyze structured and unstructured data
- Use algorithms and data analysis techniques
- Build clustering, classification and statistical models
- Apply predictive analytics to your website and marketing efforts
A practical guide to using Big Data and technology to discover real-world insights
Predict the future! Data is growing exponentially and predictive analytics is your organization s key to making use of it to create a competitive advantage. This comprehensive resource will help you define real-world projects and takes a step-by-step approach to the technical aspects of predictive analytics so you can get up and running right away.
- Enter the arena jump into predictive analytics by discovering how data can translate to a competitive advantage
- Incorporating algorithms discover data models, how to identify similarities and relationships, and how to predict the future through data classification
- Developing a roadmap prepare your data, create goals, structure and process your data, and build a predictive model that will get stakeholder buy-in
- Programming predictive analytics use in-depth tips to install software, modules, and libraries to get going with prediction models
- Making predictive analytics work gain an understanding of the typical pushback on predictive analytics adoption and how to overcome it
Open the book and find:
- Real-world tips for creating business value
- Common use cases to help you get started
- Details on modeling, k-means clustering, and more
- How you can predict the future with classification
- Information on structuring your data
- Methods for testing models
- Hands-on guides to software installation
- Tips on outlining business goals and approaches
