| 1 | Accept-Reject Sampling Method | 接受-拒绝抽样法/接受-拒绝采样法 |
| 2 | Accumulated Error Backpropagation | 累积误差反向传播 |
| 3 | Accuracy | 准确率 |
| 4 | Acquisition Function | 采集函数 |
| 5 | Action | 动作 |
| 6 | Activation Function | 激活函数 |
| 7 | Active Learning | 主动学习 |
| 8 | Adaptive Bitrate Algorithm | 自适应比特率算法 |
| 9 | Adaptive Boosting | AdaBoost |
| 10 | Adaptive Gradient Algorithm | AdaGrad |
| 11 | Adaptive Moment Estimation Algorithm | Adam算法 |
| 12 | Adaptive Resonance Theory | 自适应谐振理论 |
| 13 | Additive Model | 加性模型 |
| 14 | Affinity Matrix | 亲和矩阵 |
| 15 | Agent | 智能体 |
| 16 | Algorithm | 算法 |
| 17 | Alpha-Beta Pruning | α-β修剪法 |
| 18 | Anomaly Detection | 异常检测 |
| 19 | Approximate Inference | 近似推断 |
| 20 | Area Under ROC Curve | AUC(ROC曲线下方面积,度量分类模型好坏的标准) |
| 21 | Artificial Intelligence | 人工智能 |
| 22 | Artificial Neural Network | 人工神经网络 |
| 23 | Artificial Neuron | 人工神经元 |
| 24 | Attention | 注意力 |
| 25 | Attention Mechanism | 注意力机制 |
| 26 | Attribute | 属性 |
| 27 | Attribute Space | 属性空间 |
| 28 | Autoencoder | 自编码器 |
| 29 | Automatic Differentiation | 自动微分 |
| 30 | Autoregressive Model | 自回归模型 |
| 31 | BFGS | BFGS |
| 32 | Back Propagation | 反向传播 |
| 33 | Back Propagation Algorithm | 反向传播算法 |
| 34 | Back Propagation Through Time | 随时间反向传播 |
| 35 | Backward Induction | 反向归纳 |
| 36 | Backward Search | 反向搜索 |
| 37 | Bag of Words | 词袋 |
| 38 | Bandit | 赌博机/老虎机 |
| 39 | Base Learner | 基学习器 |
| 40 | Base Learning Algorithm | 基学习算法 |
| 41 | Baseline | 基准 |
| 42 | Batch | 批量 |
| 43 | Batch Normalization | 批量规范化 |
| 44 | Bayes Decision Rule | 贝叶斯决策准则 |
| 45 | Bayes Model Averaging | 贝叶斯模型平均 |
| 46 | Bayes Optimal Classifier | 贝叶斯最优分类器 |
| 47 | Bayes' Theorem | 贝叶斯定理 |
| 48 | Bayesian Decision Theory | 贝叶斯决策理论 |
| 49 | Bayesian Inference | 贝叶斯推断 |
| 50 | Bayesian Learning | 贝叶斯学习 |