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Distributed Machine Learning Patterns - Yuan Tang

Building Machine Learning Pipelines - Hannes Hapke and Catherine Nelson

Machine Learning Q and AI - Sebastian Raschka

Machine Learning - Zhi-Hua Zhou

Reliable Machine Learning - Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley, and Todd Underwood

Machines of Loving Grace

Practicing Trustworthy Machine Learning - Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar

Scaling Up Machine Learning - Ron Bekkerman, Mikhail Bilenko and John Langford

Machine Learning Design Patterns

Machine Learning Algorithms - Giuseppe Bonaccorso

Practical Machine Learning with Python - Dipanjan Sarkar, Raghav Bali and Tushar Sharma

Machine Learning: A Probabilistic Perspective - Kevin P. Murphy

The Age of Spiritual Machines

Recommender System with Machine Learning and Artificial Intelligence - Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Sarika Jain, Ahmed A. Elngar and Priya Gupta

TinyML: Machine Learning With TensorFlow on Arduino, and Ultra-Low Power Micro-Controllers

Thoughtful Machine Learning with Python - Matthew Kirk

Graph-Powered Machine Learning - Alessandro Negro

Architecting Data and Machine Learning Platforms - Marco Tranquillin, Valliappa Lakshmanan and Firat Tekiner

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