Advanced Data Science Books

Advanced Data Science Books are publications that delve into complex concepts, techniques, and methodologies within the field of data science. These books typically cover advanced topics such as machine learning algorithms, deep learning, natural language processing, computer vision, and big data analytics. They are designed for readers with a strong foundation in data science fundamentals and a desire to deepen their understanding of cutting-edge technologies and methodologies in the field.

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Data Set Knowledge Graph - A knowledge graph in the Linked Open Data cloud with metadata about datasets and links to publications in the MAKG
This Week in Science – The Kickass Science Podcast | The kickass science and technology radio show that delivers an irreverent look at the week in science and technology.
Frank's World of Data Science AI – Data Science for Developers
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ACM India Joint International Conference on Data Science and Management of Data | Cods Comad
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Martin Krzywinski - Data Visualization, Design, Science and Art - Canada's Michael Smith Genome Sciences Centre
Clinical Informatics Consulting Geraldine Wade MD is board certified in Clinical Informatics and provides expertise in healthcare data standards, data transformation methodologies and legacy data mapping.
Kraz Data Solutions | Data Analytics, Big Data, Inteligencia Artificial
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Datalogic | Automatic Data Capture and Industrial Automation - Datalogic
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Data-centric Machine Learning Research | The Journal of Data-centric Machine Learning Research (DMLR) is a new member of the JMLR family, aiming to provide a top archival venue for high-quality scholarly articles focused on the data aspect of machine learning research.
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Data Science for Product Teams | Pragmatic Institute
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Cloud Data Integration for Data Engineering | Informatica
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Advanced Data Science Books