Pages with the fewest revisions

Showing below up to 250 results in range #1 to #250.

1. Model parallelism‏‎ (1 revision)
2. Token‏‎ (1 revision)
3. Normalization‏‎ (1 revision)
4. Convolution‏‎ (1 revision)
5. Baseline‏‎ (1 revision)
6. GitHub Copilot‏‎ (1 revision)
7. Federated learning‏‎ (1 revision)
8. Critic‏‎ (1 revision)
9. One-hot encoding‏‎ (1 revision)
10. Decision threshold‏‎ (1 revision)
11. Bayesian optimization‏‎ (1 revision)
12. False negative rate‏‎ (1 revision)
13. Experimenter's bias‏‎ (1 revision)
14. Convex set‏‎ (1 revision)
15. Negative class‏‎ (1 revision)
16. Decision tree‏‎ (1 revision)
17. Output layer‏‎ (1 revision)
18. Multi-head self-attention‏‎ (1 revision)
19. Numerical data‏‎ (1 revision)
20. Multi-class classification‏‎ (1 revision)
21. One-vs.-all‏‎ (1 revision)
22. Sparse vector‏‎ (1 revision)
23. Sparse representation‏‎ (1 revision)
24. Convenience sampling‏‎ (1 revision)
25. Batch normalization‏‎ (1 revision)
26. Feature extraction‏‎ (1 revision)
27. Split‏‎ (1 revision)
28. Nonstationarity‏‎ (1 revision)
29. Trajectory‏‎ (1 revision)
30. Offline‏‎ (1 revision)
31. Decision forest‏‎ (1 revision)
32. Supervised machine learning‏‎ (1 revision)
33. Coverage bias‏‎ (1 revision)
34. Cross-entropy‏‎ (1 revision)
35. Pipelining‏‎ (1 revision)
36. Online inference‏‎ (1 revision)
37. Image recognition‏‎ (1 revision)
38. Unidirectional language model‏‎ (1 revision)
39. Discriminative model‏‎ (1 revision)
40. Dense layer‏‎ (1 revision)
41. Demographic parity‏‎ (1 revision)
42. Device‏‎ (1 revision)
43. Translational invariance‏‎ (1 revision)
44. Regularization rate‏‎ (1 revision)
45. Landmarks‏‎ (1 revision)
46. Broadcasting‏‎ (1 revision)
47. Ensemble‏‎ (1 revision)
48. Collaborative filtering‏‎ (1 revision)
49. Co-adaptation‏‎ (1 revision)
50. Fairness metric‏‎ (1 revision)
51. Fairness constraint‏‎ (1 revision)
52. K-means‏‎ (1 revision)
53. Convex optimization‏‎ (1 revision)
54. Similarity measure‏‎ (1 revision)
55. K-median‏‎ (1 revision)
56. Time series analysis‏‎ (1 revision)
57. Sketching‏‎ (1 revision)
58. Dataset API (tf.data)‏‎ (1 revision)
59. Few-shot learning‏‎ (1 revision)
60. Fine tuning‏‎ (1 revision)
61. Webb Schools‏‎ (1 revision)
62. Cost‏‎ (1 revision)
63. Counterfactual fairness‏‎ (1 revision)
64. Clustering‏‎ (1 revision)
65. Divisive clustering‏‎ (1 revision)
66. Convolutional neural network‏‎ (1 revision)
67. Convolutional layer‏‎ (1 revision)
68. Cross-validation‏‎ (1 revision)
69. Forget gate‏‎ (1 revision)
70. Gradient clipping‏‎ (1 revision)
71. Pooling‏‎ (1 revision)
72. Rotational invariance‏‎ (1 revision)
73. Data analysis‏‎ (1 revision)
74. Sequence model‏‎ (1 revision)
75. Size invariance‏‎ (1 revision)
76. Spatial pooling‏‎ (1 revision)
77. Stride‏‎ (1 revision)
78. Node (neural network)‏‎ (1 revision)
79. Model‏‎ (1 revision)
80. Pandas‏‎ (1 revision)
81. Deep neural network‏‎ (1 revision)
82. Neuron‏‎ (1 revision)
83. Multimodal model‏‎ (1 revision)
84. Non-profit Organizations‏‎ (1 revision)
85. Average precision‏‎ (1 revision)
86. Bayesian neural network‏‎ (1 revision)
87. Gradient boosted (decision) trees (GBT)‏‎ (1 revision)
88. Disparate treatment‏‎ (1 revision)
89. Overfitting‏‎ (1 revision)
90. Gradient boosting‏‎ (1 revision)
91. Regularization‏‎ (1 revision)
92. Natural language understanding‏‎ (1 revision)
93. Transformers‏‎ (1 revision)
94. Self-attention (also called self-attention layer)‏‎ (1 revision)
95. Squared loss‏‎ (1 revision)
96. In-set condition‏‎ (1 revision)
97. Root‏‎ (1 revision)
98. Return‏‎ (1 revision)
99. Information gain‏‎ (1 revision)
100. Sentiment analysis‏‎ (1 revision)
101. Staged training‏‎ (1 revision)
102. Binary condition‏‎ (1 revision)
103. Parameter‏‎ (1 revision)
104. Condition‏‎ (1 revision)
105. State‏‎ (1 revision)
106. Target network‏‎ (1 revision)
107. Tabular Q-learning‏‎ (1 revision)
108. Proxy labels‏‎ (1 revision)
109. Static‏‎ (1 revision)
110. Termination condition‏‎ (1 revision)
111. Q-function‏‎ (1 revision)
112. Splitter‏‎ (1 revision)
113. Static inference‏‎ (1 revision)
114. Threshold (for decision trees)‏‎ (1 revision)
115. Leaf‏‎ (1 revision)
116. Co-training‏‎ (1 revision)
117. Stationarity‏‎ (1 revision)
118. LSTM‏‎ (1 revision)
119. Variable importances‏‎ (1 revision)
120. Long Short-Term Memory (LSTM)‏‎ (1 revision)
121. MNIST‏‎ (1 revision)
122. Sequence-to-sequence task‏‎ (1 revision)
123. Q-learning‏‎ (1 revision)
124. Model hubs‏‎ (1 revision)
125. RNN‏‎ (1 revision)
126. Centroid‏‎ (1 revision)
127. Centroid-based clustering‏‎ (1 revision)
128. Bounding box‏‎ (1 revision)
129. Non-binary condition‏‎ (1 revision)
130. Node (decision tree)‏‎ (1 revision)
131. Stochastic gradient descent (SGD)‏‎ (1 revision)
132. Feature importances‏‎ (1 revision)
133. Convolutional filter‏‎ (1 revision)
134. Oblique condition‏‎ (1 revision)
135. Entropy‏‎ (1 revision)
136. Sigmoid function‏‎ (1 revision)
137. Convolutional operation‏‎ (1 revision)
138. Out-of-bag evaluation (OOB evaluation)‏‎ (1 revision)
139. Data augmentation‏‎ (1 revision)
140. Hierarchical clustering‏‎ (1 revision)
141. Depthwise separable convolutional neural network (sepCNN)‏‎ (1 revision)
142. Downsampling‏‎ (1 revision)
143. Recurrent neural network‏‎ (1 revision)
144. Data parallelism‏‎ (1 revision)
145. Rater‏‎ (1 revision)
146. Synthetic feature‏‎ (1 revision)
147. Exploding gradient problem‏‎ (1 revision)
148. Unidirectional‏‎ (1 revision)
149. Transformer‏‎ (1 revision)
150. Intersection over union (IoU)‏‎ (1 revision)
151. Softmax‏‎ (1 revision)
152. Episode‏‎ (1 revision)
153. Axis-aligned condition‏‎ (1 revision)
154. Regression model‏‎ (1 revision)
155. Gini impurity‏‎ (1 revision)
156. Keypoints‏‎ (1 revision)
157. Epsilon greedy policy‏‎ (1 revision)
158. Bagging‏‎ (1 revision)
159. Decision boundary‏‎ (1 revision)
160. Experience replay‏‎ (1 revision)
161. Positive class‏‎ (1 revision)
162. Permutation variable importances‏‎ (1 revision)
163. Greedy policy‏‎ (1 revision)
164. Policy‏‎ (1 revision)
165. Sparse feature‏‎ (1 revision)
166. Word embedding‏‎ (1 revision)
167. Bellman equation‏‎ (1 revision)
168. DQN‏‎ (1 revision)
169. Timestep‏‎ (1 revision)
170. Dimension reduction‏‎ (1 revision)
171. Derived label‏‎ (1 revision)
172. Cloud TPU‏‎ (1 revision)
173. Dimensions‏‎ (1 revision)
174. Vanishing gradient problem‏‎ (1 revision)
175. Discriminator‏‎ (1 revision)
176. Dropout regularization‏‎ (1 revision)
177. Disparate impact‏‎ (1 revision)
178. Eager execution‏‎ (1 revision)
179. Estimator‏‎ (1 revision)
180. GAN‏‎ (1 revision)
181. Earth mover's distance (EMD)‏‎ (1 revision)
182. Empirical risk minimization (ERM)‏‎ (1 revision)
183. Bias (math) or bias term‏‎ (1 revision)
184. Calibration layer‏‎ (1 revision)
185. Boosting‏‎ (1 revision)
186. Deep Q-Network (DQN)‏‎ (1 revision)
187. Candidate generation‏‎ (1 revision)
188. Equality of opportunity‏‎ (1 revision)
189. Candidate sampling‏‎ (1 revision)
190. Equalized odds‏‎ (1 revision)
191. Random policy‏‎ (1 revision)
192. Random forest‏‎ (1 revision)
193. Checkpoint‏‎ (1 revision)
194. Replay buffer‏‎ (1 revision)
195. Reinforcement learning (RL)‏‎ (1 revision)
196. Confident Learning (CL)‏‎ (1 revision)
197. Confirmation bias‏‎ (1 revision)
198. Prediction‏‎ (1 revision)
199. Post-processing‏‎ (1 revision)
200. Markov decision process (MDP)‏‎ (1 revision)
201. Reward‏‎ (1 revision)
202. Inference path‏‎ (1 revision)
203. Convex function‏‎ (1 revision)
204. Markov property‏‎ (1 revision)
205. Nonlinear‏‎ (1 revision)
206. State-action value function‏‎ (1 revision)
207. Fine-tune ChatGPT with Perplexity, Burstiness, Professionalism, Randomness and Sentimentality Guide‏‎ (1 revision)
208. Shrinkage‏‎ (1 revision)
209. Sampling with replacement‏‎ (1 revision)
210. BERT (Bidirectional Encoder Representations from Transformers)‏‎ (1 revision)
211. BLEU (Bilingual Evaluation Understudy)‏‎ (1 revision)
212. GPT (Generative Pre-trained Transformer)‏‎ (1 revision)
213. L1 loss‏‎ (1 revision)
214. L1 regularization‏‎ (1 revision)
215. L2 loss‏‎ (1 revision)
216. L2 regularization‏‎ (1 revision)
217. LaMDA (Language Model for Dialogue Applications)‏‎ (1 revision)
218. Log Loss‏‎ (1 revision)
219. Feature spec‏‎ (1 revision)
220. NLU‏‎ (1 revision)
221. ROC (receiver operating characteristic) Curve‏‎ (1 revision)
222. ReLU‏‎ (1 revision)
223. Rectified Linear Unit (ReLU)‏‎ (1 revision)
224. Root Mean Squared Error (RMSE)‏‎ (1 revision)
225. Bag of words‏‎ (1 revision)
226. Bidirectional‏‎ (1 revision)
227. Bidirectional language model‏‎ (1 revision)
228. Feedforward neural network (FFN)‏‎ (1 revision)
229. Causal language model‏‎ (1 revision)
230. Confusion matrix‏‎ (1 revision)
231. Crash blossom‏‎ (1 revision)
232. Decoder‏‎ (1 revision)
233. Denoising‏‎ (1 revision)
234. Embedding space‏‎ (1 revision)
235. Embedding vector‏‎ (1 revision)
236. Encoder‏‎ (1 revision)
237. Label‏‎ (1 revision)
238. Labeled example‏‎ (1 revision)
239. Lambda‏‎ (1 revision)
240. Wisdom of the crowd‏‎ (1 revision)
241. Large language model‏‎ (1 revision)
242. Linear‏‎ (1 revision)
243. Linear model‏‎ (1 revision)
244. Linear regression‏‎ (1 revision)
245. Log-odds‏‎ (1 revision)
246. Logistic regression‏‎ (1 revision)
247. Loss‏‎ (1 revision)
248. Loss curve‏‎ (1 revision)
249. Loss function‏‎ (1 revision)
250. Masked language model‏‎ (1 revision)