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Data Scientists are experts at analyzing, modelling and visualizing data but, at one point or another, have all encountered difficulties in collaborating with or delivering their work to the people and systems that matter.
The book provides an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions.
This book aims to explore how to automate, innovate, design, and deploy emerging technologies in... Læs mere
This book explores the need for a data-centric AI approach and its application in the multidisciplinary domain, compared to a model-centric approach.
This book presents a practical approach for researchers seeking to analyse patient data over time, serving... Læs mere
This book explores advanced methodologies and empirical research in machine learning through data mining and GPU-based parallel programming. It highlights the integration of modern deep learning techniques with CUDA architecture for efficient big data processing.
Now available in paperback— Date on Database: Writings 2000-2006 captures the thoughts of widely known and respected relational database pioneer C.
Now in its sixth edition, Data for Journalists is a straightforward and effective guide to using data for news stories.
Now in its sixth edition, Data for Journalists is a straightforward and effective guide to using data for news stories.
This textbook provides a detailed description about the practical considerations and applications in Oracle database programming... Læs mere
Searching for a needle in a haystack is an important task in several contexts of data analysis and decision-making.... Læs mere