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The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics.
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.
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.
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.
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.
In Working Beyond Borders: GIS for Geospatial Collaboration, see how government, industries, and others, are using location intelligence and... Læs mere
This book is designed to equip students to navigate through MS Excel and basic data computation methods which are essential tools in research or professional settings and in classrooms.
Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the... Læs mere