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Programming Scala: Tackle Multi-Core Complexity on the Java Virtual Machine (Pragmatic Programmers)

Optimization for Machine Learning - Suvrit Sra, Sebastian Nowozin and Stephen J. Wright

Probabilistic Machine Learning for Finance and Investing - Deepak K. Kanungo

Industrial Applications of Machine Learning - Pedro Larrañaga

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

From Source Code To Machine Code - James Smith

Machine Learning Bookcamp - Alexey Grigorev

Training Data for Machine Learning - Anthony Sarkis

Automated Machine Learning in Action - Qingquan Song

Real-World Machine Learning - Henrik Brink, Joseph W. Richards and Mark Fetherolf

Machine Learning Interviews - Susan Shu Chang

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

Building Machine Learning Pipelines - Hannes Hapke and Catherine Nelson

Your Brain Is a Time Machine

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

Programming Scala: Tackle Multi-Core Complexity on the Java Virtual Machine

Applied Machine Learning and AI for Engineers - Jeff Prosise

Python机器学习=Python machine learning

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