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Code to accompany Advanced Analytics with Spark from O'Reilly Media

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2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

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A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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Lime: Explaining the predictions of any machine learning classifier

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周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

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SIGKDD'2022: Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling

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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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All Algorithms implemented in Python

redis icon redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.

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Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

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