Søgning på underkategorier- og emner:
Bemærk: Kan ikke leveres før jul.
This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan leveres før jul.
Bemærk: Kan ikke leveres før jul.
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM... Læs mere
Bemærk: Kan ikke leveres før jul.
This book gathers a collection of high-quality peer-reviewed research papers presented at the International... Læs mere
Bemærk: Kan ikke leveres før jul.
The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics.
Bemærk: Kan leveres før jul.
With this practical book, data engineers at organizations that use event-processing systems such as Kafka,... Læs mere
Bemærk: Kan leveres før jul.
Bemærk: Kan leveres før jul.
This book helps readers understand what data can do, how to unlock value from your data and how you use it to change the game in your organisation.
Bemærk: Kan leveres før jul.
R for Data Analysis in easy steps, 2nd edition is written using a proven easy-to-follow style for maximum appeal. It will be useful to anyone who wants to begin programming in R, with minimum fuss. Updated for the latest version of R.
Bemærk: Kan leveres før jul.
Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass the entire data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data.
Bemærk: Kan leveres før jul.
With this short but thorough resource, data scientists and Python programmers will learn how the Dask open source library for parallel computing provides APIs that make it easy to parallelize PyData libraries including NumPy, pandas, and scikit-learn.