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1. 
Cover image for Mathematical Foundations of Reinforcement Learning
Mathematical Foundations of Reinforcement Learning
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Zhao, Shiyu. author. (orcid)0000-0003-3098-8059 SpringerLink (Online service)
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https://doi.org/10.1007/978-981-97-3944-8
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Cover image for Deep Learning Foundations and Concepts
Deep Learning Foundations and Concepts
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Bishop, Christopher M. author. Bishop, Hugh. author. SpringerLink (Online service)
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https://doi.org/10.1007/978-3-031-45468-4
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Cover image for Machine Learning Governance for Managers
Machine Learning Governance for Managers
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Lazzeri, Francesca. author. Robsky, Alexei. author. SpringerLink (Online service)
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https://doi.org/10.1007/978-3-031-31805-4
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4. 
Cover image for Dirty Data Processing for Machine Learning
Dirty Data Processing for Machine Learning
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Qi, Zhixin. author. Wang, Hongzhi. author. (orcid)0000-0002-7521-2871 Dong, Zejiao. author. (orcid)0000-0002-2115-3802 SpringerLink (Online service)
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https://doi.org/10.1007/978-981-99-7657-7
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5. 
Cover image for Practical Machine Learning Illustrated with KNIME
Practical Machine Learning Illustrated with KNIME
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Geng, Yu. author. Li, Qin. author. Yang, Geng. author. Qiu, Wan. author. SpringerLink (Online service)
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https://doi.org/10.1007/978-981-97-3954-7
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6. 
Cover image for Machine Learning for Causal Inference
Machine Learning for Causal Inference
Author 
Li, Sheng. editor. Chu, Zhixuan. editor. SpringerLink (Online service)
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https://doi.org/10.1007/978-3-031-35051-1
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7. 
Cover image for Leveraging GenAI for Machine Learning Education in Public Health ChatGPT and R
Leveraging GenAI for Machine Learning Education in Public Health ChatGPT and R
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Leung, Ricky. author. (orcid)0000-0002-2852-6771 SpringerLink (Online service)
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https://doi.org/10.1007/978-3-032-08677-8
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8. 
Cover image for From Unimodal to Multimodal Machine Learning An Overview
From Unimodal to Multimodal Machine Learning An Overview
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Škrlj, Blaž. author. SpringerLink (Online service)
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https://doi.org/10.1007/978-3-031-57016-2
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9. 
Cover image for Cracking the Machine Learning Code: Technicality or Innovation?
Cracking the Machine Learning Code: Technicality or Innovation?
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Santosh, KC. author. Rizk, Rodrigue. author. (orcid)0000-0002-4392-4188 Bajracharya, Siddhi K. author. SpringerLink (Online service)
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https://doi.org/10.1007/978-981-97-2720-9
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10. 
Cover image for Health Analytics with R Learning Data Science Using Examples from Healthcare and Direct-to-Consumer Genetics
Health Analytics with R Learning Data Science Using Examples from Healthcare and Direct-to-Consumer Genetics
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Boland, Mary Regina. author. SpringerLink (Online service)
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https://doi.org/10.1007/978-3-031-74383-2
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11. 
Cover image for An Introduction to Image Classification From Designed Models to End-to-End Learning
An Introduction to Image Classification From Designed Models to End-to-End Learning
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Toennies, Klaus D. author. (orcid)0009-0004-5900-6551 SpringerLink (Online service)
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https://doi.org/10.1007/978-981-99-7882-3
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12. 
Cover image for Information-Driven Machine Learning Data Science as an Engineering Discipline
Information-Driven Machine Learning Data Science as an Engineering Discipline
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Friedland, Gerald. author. SpringerLink (Online service)
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https://doi.org/10.1007/978-3-031-39477-5
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