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Hebbian Learning and Negative Feedback Networks

Learning JavaScript Data Structures and Algorithms 2nd Edition - Loiane Groner

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

Open teaching toolkit - learning how to learn

Generative Deep Learning 2nd Edition - David Foster

Alternatives Considered But Not Disclosed: The Ambiguous Role of PowerPoint in Cross-Project Learning

Learning Ext JS - Shea Frederick, Colin Ramsay and Steve `Cutter` Blades

Practical Simulations for Machine Learning - Paris and Mars Buttfield-Addison, Tim Nugent, and Jon Manning

40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python

Learning Microsoft Power BI - Jeremey Arnold

Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD

Scaling Machine Learning with Spark - Adi Polak

Deep Learning with Structured Data - Mark Ryan

Deep Learning for Natural Language Processing - Stephan Raaijmakers

Classroom DIY: A Practical Step-by-Step Guide to Setting up a Creative Learning Environment (David Fulton Books)

Learning Perl 8th Edition - Randal L. Schwartz, brian d foy, and Tom Phoenix

Programming Languages: An Active Learning Approach - Kent D. Lee

Learning SPARQL - Bob DuCharme

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