Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition,……続きを見る
Real-time applications are becoming the norm today. But building a model that works properly requires real-time data from the source, in-flight stream processing, and low latency serving of its anal……続きを見る
Perform time series analysis using KNIME Analytics Platform, covering both statistical methods and machine learning-based methods Key Features • Gain a solid understanding of time series analysis an……続きを見る
Illustrate your data in a more interactive and interesting way using Tableau Public About This Book • Learn the basics of creating visualizations with Tableau using this concise reference book • Und……続きを見る
Create data mining algorithms
About This Book
Develop a strong strategy to solve predictive modeling problems using the most popular data mining algorithms
Real-world case studies will take you fro……続きを見る
Are you thinking of learning more about Machine Learning using R?
The overall aim of this book is to give you an overview of the data science applications using R.
Data science is the practice of tr……続きを見る
Server bottlenecks and failures are a fact of life in any database deployment, but they don’t have to bring everything to a halt. This practical book explains replication, cluster, and monitoring fe……続きを見る
A dream come true for those looking to improve their data fluency
Analytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the for……続きを見る
