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Beginning Machine Learning in iOS

Building Machine Learning Pipelines - Hannes Hapke and Catherine Nelson

The Spatial Web: How Web 3.0 Will Connect Humans, Machines, and AI to Transform the World

Deep Belief Nets in C++ and CUDA C volume 1 Restricted Boltzmann Machines and Supervised Feedforward Networks

Machine Learning with Tensorflow - Nishant Shukla

Machine Learning with Python Cookbook 2nd Edition - Kyle Gallatin and Chris Albon

Natural Language Annotation for Machine Learning - James Pustejovsky and Amber Stubbs

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

Machine Learning - Peter Flach

Pattern Recognition with Support Vector Machines

Deep Belief Nets in C++ and CUDA C: Volume 1 Restricted Boltzmann Machines and Supervised Feedforward Networks

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow 2nd Edition - Aurélien Géron

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

Machine Learning with R 4th Edition - Brett Lantz

Machine Learning: An Algorithmic Perspective - Ralf Herbrich and Thore Graepel

Python Machine Learning 2nd Edition - Sebastian Raschka and Vahid Mirjalili

Thoughtful Machine Learning with Python - Matthew Kirk

Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurélien Géron

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