Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition
Now updated—the systematic introductory guide to modern analysis of large data sets
As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book...
Deep Learning Cookbook: Practical Recipes to Get Started Quickly
Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve...
Java Data Science Cookbook
This book provides modern recipes in small steps to help an apprentice cook become a master chef in data science
Use these recipes to obtain, clean, analyze, and learn from your data
Learn how to get your data science applications to production and enterprise...
Excel Functions and Formulas Pocketbook
Geared toward the intermediate to advanced Excel 2016 user, this pocketbook provides explanations and context for many powerful Excel 2016 spreadsheet formulas and functions. Step-by-step instructions for many formula/function-related features such as using range names, and Excel's troubleshooting features. Focus on clarity, accuracy,...
Mastering Elasticsearch, Second Edition
Further your knowledge of the Elasticsearch server by learning more about its internals, querying, and data handling
About This Book
Understand Apache Lucene and Elasticsearch's design and architecture
Design your index, configure it, and distribute it, not only with assumptions, but...
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