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Training Data for Machine Learning - Anthony Sarkis

Machine Learning Algorithms - Giuseppe Bonaccorso

Hands-On Machine Learning with Scikit-Learn and TensorFlow

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

Machine Learning by Tutorials - Matthijs Hollemans, Chris LaPollo and Audrey Tam

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

Machine Learning in Action - Peter Harrington

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

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

Machine Learning for Financial Risk Management with Python - Abdullah Karasan

Hug Machine

Machine Learning Design Patterns - Valliappa Lakshmanan, Sara Robinson, and Michael Munn

Machine Learning with Tensorflow - Nishant Shukla

Feature Engineering for Machine Learning - Alice Zheng and Amanda Casari

Advances in Financial Machine Learning

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

Machine Learning - Peter Flach

From Source Code To Machine Code - James Smith

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