Category: Databases & Big Data

eBook Details: Paperback: 264 pages Publisher: WOW! eBook (December 29, 2020) Language: English ISBN-10: 1617296724 ISBN-13: 978-1617296727 eBook Description: Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you’ll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems. Here’s a dirty secret: Half of the time in most...

eBook Details: Paperback: 504 pages Publisher: WOW! eBook (December 22, 2020) Language: English ISBN-10: 161729652X ISBN-13: 978-1617296529 eBook Description: Fighting Churn with Data: The science and strategy of customer retention The beating heart of any product or service business is returning clients. Don’t let your hard-won customers vanish, taking their money with them. In Fighting Churn with Data you’ll learn powerful data-driven techniques to maximize customer retention and minimize actions that cause them to stop engaging or unsubscribe altogether. This hands-on guide is packed with techniques for converting raw data into measurable metrics, testing hypotheses, and presenting findings that are easily...

eBook Details: Paperback: 436 pages Publisher: WOW! eBook (December 18, 2020) Language: English ISBN-10: 1484264991 ISBN-13: 978-1484264997 eBook Description: Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle Discover the capabilities of PySpark and its application in the realm of data science. This comprehensive guide with hand-picked examples of daily use cases will walk you through the end-to-end predictive model-building cycle with the latest techniques and tricks of the trade. Applied Data Science Using PySpark is divided unto six sections which walk you through the book. In section 1, you start with the basics of PySpark focusing on data...