GitHub - crypdick/awesome-neural-art: A curated list of awesome neural network-based art resources.

Deep Learning: Methods and Applications - Microsoft Research

This book is aimed to provide an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks

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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series): Murphy, Kevin P.: 9780262018029: Amazon.com: Books

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Getting Started with Deep Learning and Python - PyImageSearch

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GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software.

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GitHub - guillaume-chevalier/Awesome-Deep-Learning-Resources: Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

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Introduction to Machine Learning | Machine Learning Crash Course | Google Developers

GitHub - benedekrozemberczki/awesome-graph-classification: A collection of important graph embedding, classification and representation learning papers with implementations.

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GitHub - benedekrozemberczki/awesome-community-detection: A curated list of community detection research papers with implementations.

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GitHub - benedekrozemberczki/awesome-decision-tree-papers: A collection of research papers on decision, classification and regression trees with implementations.

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GitHub - benedekrozemberczki/awesome-gradient-boosting-papers: A curated list of gradient boosting research papers with implementations.

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GitHub - benedekrozemberczki/awesome-fraud-detection-papers: A curated list of data mining papers about fraud detection.

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