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12.2021第四期AI量化投资训练营

课前预习材料及推荐书籍

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Python&编程2018 - Pre-training of Deep Bidirectional Transformers for Language Understanding2017 - Stock price prediction using LSTM, RNN and CNN-sliding window model2014 - Generative Adversarial Networks 2020 - Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction (副本)量化与金融预习材料LightGBM2020 - Transformer-Based Capsule Network For Stock Movements PredictionAI量化2020 - Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction机器学习&AI2019 - Graph Transformer Networks2017 - Attention is all you need2015 - Deep Residual Learning forImage Recognition2016 - Mastering the game of Go with deep neuralnetworks and tree search2013 - Distributed Representations of Words and Phrases and their Compositionality 2012 - ImageNet Classification with Deep Convolutional Neural Networks 2001 - Random Forests
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