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数据科学与机器学习

  • How Zendesk Serves TensorFlow Models in Production

  • PHP-ML - Machine Learning library for PHP: Fresh approach to Machine Learning in PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.

  • DeepCoder: Learning to Write Programs: We develop a first line of attack for solving programming competition-style problems from input-output examples using deep learning. The approach is to train a neural network to predict properties of the program that generated the outputs from the inputs. We use the neural network's predictions to augment search techniques from the programming languages community, including enumerative search and an SMT-based solver. Empirically, we show that our approach leads to an order of magnitude speedup over the strong non-augmented baselines and a Recurrent Neural Network approach, and that we are able to solve problems of difficulty comparable to the simplest problems on programming competition websites.

  • Deep Learning 101 - Part 1: History and Background【Series】: The Deep Learning 101 series is a companion piece to a talk given as part of the Department of Biomedical Informatics @ Harvard Medical School ‘Open Insights’ series. Slides for the talk are available here

  • ML-From-Scratch: Bare bones Python implementations of various Machine Learning models and algorithms.

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