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Honest and direct, full of examples from real life, Data Science Without Makeup: A Guidebook for End-Users, Analysts and... Læs mere
This book is designed to provide practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate text into... Læs mere
This book is designed to provide practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate text into... Læs mere
This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.
This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers.
The book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step... Læs mere
The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect... Læs mere
Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Of interest to anyone... Læs mere
Effective presentation of analytical results is the key to close a project successfully. With the meteoric rise in the popularity of data science... Læs mere
In education, big data analytics is being used to enhance the learning process, evaluate efficiency, improve feedback, and enrich the learning experience.... Læs mere
This book comprises the analytics process and ways of developing analytics capabilities in organizations. Organizations require, for the application of... Læs mere
From deepfakes to GPT-3, deep learning is now powering a new assault on our ability to tell what's real and what's not, bringing a whole new algorithmic side to fake news.