京东 11.11 红包
Support Vector Machines
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LLM分词器相关技术介绍
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LLM相关技术介绍之二-词嵌入技术介绍
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svm(二)
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20-HMM
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Kernel Methods
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Model Selection
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Factor Analysis
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GLMs and Softmax Regression
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DecisionTree
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线性回归(LinearRegression)
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Independent Components Analysis
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2-LogisticRegresssion
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SVM(一)(The optimal margin classifier)
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Structural Analysis(KMeans,DBSCAN,HierarchicalClustering)
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SVM(四)Optimal margin classifiers求解SMO算法
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PolicyNetwork(策略网络及REINFORCEMENT实验)
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hmm-viterbi算法
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RT-1-Robotics Transformer for Real-World Control at Scale
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RT-2-Vision-Language-Action-Models-Transfer-Web-Knowledge-to-Robotic-Control
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Open X-Embodiment-Robotic Learning Datasets and RT-X Models
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Machine Learning Lecture 18(Transformer)
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MDP-2(策略迭代-价值迭代及其实验分析和演示)
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Newtown Methods牛顿法进行参数求解及其在逻辑回归问题中的应用
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Kalman Filter
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LLM相关技术介绍之三-Self-Attention及Transformer模型架构详解
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Ensemble Learning GBDT XGBoost
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MDP-1(贝尔曼方程-价值函数-策略评估)
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SVM(三）拉格朗日对偶对偶
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AdaBoost
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ViLT-Vision-Language-Transformer_without_convolution_and_region_supervision(1)
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Machine Learning Lecture 5(SVM)
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Expectation Maximization and GMM
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TRPO算法原理与实验实现
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Generative Learning Algorithms以及高斯判别分析在二元分类中的应用
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Ensemble Learning Random Forest and Adaboost
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PCA
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Statistics Learning Theory
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PMSM无感控制-P3-使用simulink搭建滑模观测器模型（包括Z变换基础理论的讲解）
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c语言基础(struct-union)
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LDM算法原理介绍