Materials Data Science : Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering
Stefan Sandfeld
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Mastering Marketing Data Science : A Comprehensive Guide for Today's Marketers
Iain (University of Southampton, UK) Brown
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Deciphering Data Architectures : Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
James Serra
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Learning Data Science : Data Wrangling, Exploration, Visualization, and Modeling with Python
Sam Lau
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Deep Learning : Foundations and Concepts
Christopher M. Bishop
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Deep Learning : Foundations and Concepts
Christopher M. Bishop
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An Introduction to R and Python for Data Analysis : A Side-By-Side Approach
Taylor R. (University of Virginia) Brown
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Cognitive Analytics and Reinforcement Learning : Theories, Techniques and Applications
Elakkiya (Birla Institute of Technology & Science, Dubai, UAE) R.
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Research Software Engineering : A Guide to the Open Source Ecosystem
Matthias (KOF Swiss Economic Institute, Zurich, Switzerland) Bannert
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Research Software Engineering : A Guide to the Open Source Ecosystem
Matthias (KOF Swiss Economic Institute, Zurich, Switzerland) Bannert
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What Every Engineer Should Know About Digital Accessibility
Sarah Horton
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Modern Data Visualization with R
Robert Kabacoff
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Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology
Mohammad S. Obaidat
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Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications
Sagaya Aurelia
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Digital Technology Enabled Circular Economy : Models for Environmental and Resource Sustainability
Bikash Ranjan Moharana
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Deep Learning for Smart Healthcare : Trends, Challenges and Applications
K. Murugeswari
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The Digital Transformation of Product Formulation : Concepts, Challenges, and Applications for Accelerated Innovation
Alix Schmidt
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Wireless Communication Technologies : Roles, Responsibilities, and Impact of IoT, 6G, and Blockchain Practices
Vandana Sharma
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Green Computing for Sustainable Smart Cities : A Data Analytics Applications Perspective
Neha Sharma
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