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This book covers the essentials of big data and ML/AI to predict trends and risks for business while acknowledging that the... Læs mere
Sentiment analysis research has been started long back and recently it is one of the demanding research topics. Therefore, the main aim of this book is to provide... Læs mere
The visualizations in this book are not necessarily always the most effective choice of visualization for the data and relationship... Læs mere
This book is an overview of the Bayesian approach to applying the most important inferential methods of statistical science. It... Læs mere
Whether you're new to statistical analysis or looking to enhance your analytical skills with the R programming language, this textbook provides comprehensive and practical guidance for understanding fundamental statistical concepts through healthcare examples in R.
The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software. For... Læs mere
In this hands-on guide, author Nitin Borwankar takes you through the "why, what, and how" of vector databases, starting with the basic theory behind vector embeddings and progressing to building applications with real-world tools.