Pages with the fewest revisions

Showing below up to 500 results in range #1 to #500.

1. Mini-batch stochastic gradient descent‏‎ (1 revision)
2. TPU master‏‎ (1 revision)
3. Novelty detection‏‎ (1 revision)
4. Tower‏‎ (1 revision)
5. Digital Media ChatGPT Plugins‏‎ (1 revision)
6. GitHub Copilot‏‎ (1 revision)
7. Sports‏‎ (1 revision)
8. Tensor rank‏‎ (1 revision)
9. PR AUC (area under the PR curve)‏‎ (1 revision)
10. Cybersecurity‏‎ (1 revision)
11. Cars ChatGPT Plugins‏‎ (1 revision)
12. Travel‏‎ (1 revision)
13. Law‏‎ (1 revision)
14. Web Development ChatGPT Plugins‏‎ (1 revision)
15. Multinomial classification‏‎ (1 revision)
16. Representation‏‎ (1 revision)
17. Saver‏‎ (1 revision)
18. Model capacity‏‎ (1 revision)
19. Objective‏‎ (1 revision)
20. Minimax loss‏‎ (1 revision)
21. Parameter Server (PS)‏‎ (1 revision)
22. Preprocessing‏‎ (1 revision)
23. Predictive rate parity‏‎ (1 revision)
24. Photography ChatGPT Plugins‏‎ (1 revision)
25. One-shot learning‏‎ (1 revision)
26. Transportation‏‎ (1 revision)
27. Step‏‎ (1 revision)
28. Non-response bias‏‎ (1 revision)
29. Advertising‏‎ (1 revision)
30. Objective function‏‎ (1 revision)
31. Reporting bias‏‎ (1 revision)
32. Queue‏‎ (1 revision)
33. Cars‏‎ (1 revision)
34. Business‏‎ (1 revision)
35. Outlier detection‏‎ (1 revision)
36. SavedModel‏‎ (1 revision)
37. Width‏‎ (1 revision)
38. TPU slice‏‎ (1 revision)
39. Beverage ChatGPT Plugins‏‎ (1 revision)
40. Charity‏‎ (1 revision)
41. Collectibles‏‎ (1 revision)
42. Entertainment‏‎ (1 revision)
43. Cryptocurrency ChatGPT Plugins‏‎ (1 revision)
44. Performance‏‎ (1 revision)
45. LaMDA‏‎ (1 revision)
46. Marketing ChatGPT Plugins‏‎ (1 revision)
47. Music‏‎ (1 revision)
48. Politics ChatGPT Plugins‏‎ (1 revision)
49. Podcasts ChatGPT Plugins‏‎ (1 revision)
50. Weather‏‎ (1 revision)
51. Web Development‏‎ (1 revision)
52. Science ChatGPT Plugins‏‎ (1 revision)
53. Religion ChatGPT Plugins‏‎ (1 revision)
54. Transportation ChatGPT Plugins‏‎ (1 revision)
55. Self-Improvement ChatGPT Plugins‏‎ (1 revision)
56. Social Media ChatGPT Plugins‏‎ (1 revision)
57. Space ChatGPT Plugins‏‎ (1 revision)
58. Software ChatGPT Plugins‏‎ (1 revision)
59. Software Development‏‎ (1 revision)
60. Software‏‎ (1 revision)
61. Webb Schools‏‎ (1 revision)
62. Academic Research‏‎ (1 revision)
63. Art‏‎ (1 revision)
64. Context window‏‎ (1 revision)
65. Attention Is All You Need (Transformer)‏‎ (1 revision)
66. Undersampling‏‎ (1 revision)
67. Unawareness (to a sensitive attribute)‏‎ (1 revision)
68. Employment‏‎ (1 revision)
69. Education ChatGPT Plugins‏‎ (1 revision)
70. Shopping ChatGPT Plugins‏‎ (1 revision)
71. Employment ChatGPT Plugins‏‎ (1 revision)
72. Entertainment ChatGPT Plugins‏‎ (1 revision)
73. Digital Media‏‎ (1 revision)
74. Academic Research ChatGPT Plugins‏‎ (1 revision)
75. Advertising ChatGPT Plugins‏‎ (1 revision)
76. Art ChatGPT Plugins‏‎ (1 revision)
77. Artificial Intelligence ChatGPT Plugins‏‎ (1 revision)
78. Node (TensorFlow graph)‏‎ (1 revision)
79. Metric‏‎ (1 revision)
80. Optimizer‏‎ (1 revision)
81. Cryptocurrency‏‎ (1 revision)
82. Multinomial regression‏‎ (1 revision)
83. Model training‏‎ (1 revision)
84. Non-profit Organizations‏‎ (1 revision)
85. Food ChatGPT Plugins‏‎ (1 revision)
86. Charity ChatGPT Plugins‏‎ (1 revision)
87. Scalar‏‎ (1 revision)
88. Health‏‎ (1 revision)
89. Operation (op)‏‎ (1 revision)
90. Scaling‏‎ (1 revision)
91. Perceptron‏‎ (1 revision)
92. Multi-class logistic regression‏‎ (1 revision)
93. Transformers‏‎ (1 revision)
94. Pipeline‏‎ (1 revision)
95. Prior belief‏‎ (1 revision)
96. Scikit-learn‏‎ (1 revision)
97. Shape (Tensor)‏‎ (1 revision)
98. SEO ChatGPT Plugins‏‎ (1 revision)
99. Selection bias‏‎ (1 revision)
100. Pre-trained model‏‎ (1 revision)
101. Probabilistic regression model‏‎ (1 revision)
102. Recall‏‎ (1 revision)
103. Out-group homogeneity bias‏‎ (1 revision)
104. Recommendation system‏‎ (1 revision)
105. Programming ChatGPT Plugins‏‎ (1 revision)
106. Sports ChatGPT Plugins‏‎ (1 revision)
107. Internet ChatGPT Plugins‏‎ (1 revision)
108. Partial derivative‏‎ (1 revision)
109. Proxy (sensitive attributes)‏‎ (1 revision)
110. Beverage‏‎ (1 revision)
111. TensorFlow Serving‏‎ (1 revision)
112. Step size‏‎ (1 revision)
113. Quantile‏‎ (1 revision)
114. Structural risk minimization (SRM)‏‎ (1 revision)
115. Self-supervised learning‏‎ (1 revision)
116. Software Development ChatGPT Plugins‏‎ (1 revision)
117. Quantile bucketing‏‎ (1 revision)
118. Weather ChatGPT Plugins‏‎ (1 revision)
119. Temporal data‏‎ (1 revision)
120. Writing ChatGPT Plugins‏‎ (1 revision)
121. Tf.Example‏‎ (1 revision)
122. Precision-recall curve‏‎ (1 revision)
123. Tensor Processing Unit (TPU)‏‎ (1 revision)
124. Model hubs‏‎ (1 revision)
125. Technology ChatGPT Plugins‏‎ (1 revision)
126. E-Commerce‏‎ (1 revision)
127. Language Learning ChatGPT Plugins‏‎ (1 revision)
128. Tf.keras‏‎ (1 revision)
129. TPU Pod‏‎ (1 revision)
130. TPU‏‎ (1 revision)
131. Quantization‏‎ (1 revision)
132. Root directory‏‎ (1 revision)
133. Transfer learning‏‎ (1 revision)
134. TPU chip‏‎ (1 revision)
135. Ridge regularization‏‎ (1 revision)
136. Precision‏‎ (1 revision)
137. Uplift modeling‏‎ (1 revision)
138. TPU device‏‎ (1 revision)
139. Upweighting‏‎ (1 revision)
140. Travel ChatGPT Plugins‏‎ (1 revision)
141. User matrix‏‎ (1 revision)
142. Wide model‏‎ (1 revision)
143. Gaming ChatGPT Plugins‏‎ (1 revision)
144. TPU node‏‎ (1 revision)
145. Participation bias‏‎ (1 revision)
146. Rank (Tensor)‏‎ (1 revision)
147. Tensor shape‏‎ (1 revision)
148. TPU resource‏‎ (1 revision)
149. Rank (ordinality)‏‎ (1 revision)
150. E-Commerce ChatGPT Plugins‏‎ (1 revision)
151. Prediction bias‏‎ (1 revision)
152. Tensor size‏‎ (1 revision)
153. Ranking‏‎ (1 revision)
154. Partitioning strategy‏‎ (1 revision)
155. Sampling bias‏‎ (1 revision)
156. Diffusion Models‏‎ (1 revision)
157. Wasserstein loss‏‎ (1 revision)
158. Re-ranking‏‎ (1 revision)
159. Design‏‎ (1 revision)
160. Weighted Alternating Least Squares (WALS)‏‎ (1 revision)
161. Outliers‏‎ (1 revision)
162. Semi-supervised learning‏‎ (1 revision)
163. Self-training‏‎ (1 revision)
164. Sensitive attribute‏‎ (1 revision)
165. Predictive parity‏‎ (1 revision)
166. TPU type‏‎ (1 revision)
167. TPU worker‏‎ (1 revision)
168. Tensor‏‎ (1 revision)
169. Cybersecurity ChatGPT Plugins‏‎ (1 revision)
170. Finance‏‎ (1 revision)
171. Environment ChatGPT Plugins‏‎ (1 revision)
172. Data Visualization ChatGPT Plugins‏‎ (1 revision)
173. Food‏‎ (1 revision)
174. Collectibles ChatGPT Plugins‏‎ (1 revision)
175. Gaming‏‎ (1 revision)
176. Internet‏‎ (1 revision)
177. Geography‏‎ (1 revision)
178. IT Management‏‎ (1 revision)
179. Language Learning‏‎ (1 revision)
180. Politics‏‎ (1 revision)
181. Photography‏‎ (1 revision)
182. News‏‎ (1 revision)
183. Design ChatGPT Plugins‏‎ (1 revision)
184. Lifestyle ChatGPT Plugins‏‎ (1 revision)
185. Geography ChatGPT Plugins‏‎ (1 revision)
186. TensorBoard‏‎ (1 revision)
187. Legal ChatGPT Plugins‏‎ (1 revision)
188. Media‏‎ (1 revision)
189. Law ChatGPT Plugins‏‎ (1 revision)
190. Marketing‏‎ (1 revision)
191. Unstable Diffusion‏‎ (1 revision)
192. Serving‏‎ (1 revision)
193. Health ChatGPT Plugins‏‎ (1 revision)
194. IT Management ChatGPT Plugins‏‎ (1 revision)
195. Music ChatGPT Plugins‏‎ (1 revision)
196. Confident Learning (CL)‏‎ (1 revision)
197. News ChatGPT Plugins‏‎ (1 revision)
198. Parameter update‏‎ (1 revision)
199. Oversampling‏‎ (1 revision)
200. TensorFlow‏‎ (1 revision)
201. Real Estate ChatGPT Plugins‏‎ (1 revision)
202. Scoring‏‎ (1 revision)
203. Media ChatGPT Plugins‏‎ (1 revision)
204. TensorFlow Playground‏‎ (1 revision)
205. Noise‏‎ (1 revision)
206. Search Engine ChatGPT Plugins‏‎ (1 revision)
207. Fine-tune ChatGPT with Perplexity, Burstiness, Professionalism, Randomness and Sentimentality Guide‏‎ (1 revision)
208. Squared hinge loss‏‎ (1 revision)
209. Sparsity‏‎ (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. Technology‏‎ (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. Space‏‎ (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. Test set‏‎ (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)
251. Meta-learning‏‎ (1 revision)
252. Modality‏‎ (1 revision)
253. Model‏‎ (1 revision)
254. Model parallelism‏‎ (1 revision)
255. Multi-class classification‏‎ (1 revision)
256. Multi-head self-attention‏‎ (1 revision)
257. Multimodal model‏‎ (1 revision)
258. Natural language understanding‏‎ (1 revision)
259. Negative class‏‎ (1 revision)
260. Neuron‏‎ (1 revision)
261. Node (neural network)‏‎ (1 revision)
262. Nonlinear‏‎ (1 revision)
263. Nonstationarity‏‎ (1 revision)
264. Normalization‏‎ (1 revision)
265. Numerical data‏‎ (1 revision)
266. Offline‏‎ (1 revision)
267. Finance ChatGPT Plugins‏‎ (1 revision)
268. One-hot encoding‏‎ (1 revision)
269. One-vs.-all‏‎ (1 revision)
270. Online inference‏‎ (1 revision)
271. Output layer‏‎ (1 revision)
272. Overfitting‏‎ (1 revision)
273. Pandas‏‎ (1 revision)
274. Parameter‏‎ (1 revision)
275. Pipelining‏‎ (1 revision)
276. Positive class‏‎ (1 revision)
277. Post-processing‏‎ (1 revision)
278. Prediction‏‎ (1 revision)
279. Proxy labels‏‎ (1 revision)
280. Rater‏‎ (1 revision)
281. Regression model‏‎ (1 revision)
282. Regularization‏‎ (1 revision)
283. Regularization rate‏‎ (1 revision)
284. Self-attention (also called self-attention layer)‏‎ (1 revision)
285. Sentiment analysis‏‎ (1 revision)
286. Sequence-to-sequence task‏‎ (1 revision)
287. Sigmoid function‏‎ (1 revision)
288. Softmax‏‎ (1 revision)
289. Sparse feature‏‎ (1 revision)
290. Sparse representation‏‎ (1 revision)
291. Sparse vector‏‎ (1 revision)
292. Squared loss‏‎ (1 revision)
293. Staged training‏‎ (1 revision)
294. Static‏‎ (1 revision)
295. Static inference‏‎ (1 revision)
296. Stationarity‏‎ (1 revision)
297. Stochastic gradient descent (SGD)‏‎ (1 revision)
298. Supervised machine learning‏‎ (1 revision)
299. Synthetic feature‏‎ (1 revision)
300. Transformer‏‎ (1 revision)
301. Axis-aligned condition‏‎ (1 revision)
302. Bagging‏‎ (1 revision)
303. Binary condition‏‎ (1 revision)
304. Condition‏‎ (1 revision)
305. Decision forest‏‎ (1 revision)
306. Decision tree‏‎ (1 revision)
307. Entropy‏‎ (1 revision)
308. Feature importances‏‎ (1 revision)
309. Gini impurity‏‎ (1 revision)
310. Gradient boosted (decision) trees (GBT)‏‎ (1 revision)
311. Gradient boosting‏‎ (1 revision)
312. In-set condition‏‎ (1 revision)
313. Inference path‏‎ (1 revision)
314. Information gain‏‎ (1 revision)
315. Leaf‏‎ (1 revision)
316. Node (decision tree)‏‎ (1 revision)
317. Non-binary condition‏‎ (1 revision)
318. Oblique condition‏‎ (1 revision)
319. Out-of-bag evaluation (OOB evaluation)‏‎ (1 revision)
320. Token‏‎ (1 revision)
321. Data Visualization‏‎ (1 revision)
322. Unidirectional‏‎ (1 revision)
323. Unidirectional language model‏‎ (1 revision)
324. Word embedding‏‎ (1 revision)
325. Bellman equation‏‎ (1 revision)
326. DQN‏‎ (1 revision)
327. Deep Q-Network (DQN)‏‎ (1 revision)
328. Markov decision process (MDP)‏‎ (1 revision)
329. Markov property‏‎ (1 revision)
330. Q-function‏‎ (1 revision)
331. Q-learning‏‎ (1 revision)
332. Critic‏‎ (1 revision)
333. Business ChatGPT Plugins‏‎ (1 revision)
334. Episode‏‎ (1 revision)
335. Epsilon greedy policy‏‎ (1 revision)
336. Experience replay‏‎ (1 revision)
337. Greedy policy‏‎ (1 revision)
338. Permutation variable importances‏‎ (1 revision)
339. Policy‏‎ (1 revision)
340. Random forest‏‎ (1 revision)
341. Root‏‎ (1 revision)
342. Sampling with replacement‏‎ (1 revision)
343. Shrinkage‏‎ (1 revision)
344. Split‏‎ (1 revision)
345. Splitter‏‎ (1 revision)
346. Threshold (for decision trees)‏‎ (1 revision)
347. Variable importances‏‎ (1 revision)
348. Wisdom of the crowd‏‎ (1 revision)
349. MNIST‏‎ (1 revision)
350. Bounding box‏‎ (1 revision)
351. Convolution‏‎ (1 revision)
352. Convolutional filter‏‎ (1 revision)
353. Convolutional layer‏‎ (1 revision)
354. Convolutional neural network‏‎ (1 revision)
355. Convolutional operation‏‎ (1 revision)
356. Data augmentation‏‎ (1 revision)
357. Depthwise separable convolutional neural network (sepCNN)‏‎ (1 revision)
358. Downsampling‏‎ (1 revision)
359. Image recognition‏‎ (1 revision)
360. Intersection over union (IoU)‏‎ (1 revision)
361. Keypoints‏‎ (1 revision)
362. Landmarks‏‎ (1 revision)
363. Random policy‏‎ (1 revision)
364. Reinforcement learning (RL)‏‎ (1 revision)
365. Replay buffer‏‎ (1 revision)
366. Return‏‎ (1 revision)
367. Reward‏‎ (1 revision)
368. State-action value function‏‎ (1 revision)
369. State‏‎ (1 revision)
370. Tabular Q-learning‏‎ (1 revision)
371. Target network‏‎ (1 revision)
372. Termination condition‏‎ (1 revision)
373. Trajectory‏‎ (1 revision)
374. LSTM‏‎ (1 revision)
375. Long Short-Term Memory (LSTM)‏‎ (1 revision)
376. RNN‏‎ (1 revision)
377. Centroid-based clustering‏‎ (1 revision)
378. Centroid‏‎ (1 revision)
379. Clustering‏‎ (1 revision)
380. Divisive clustering‏‎ (1 revision)
381. Exploding gradient problem‏‎ (1 revision)
382. Forget gate‏‎ (1 revision)
383. Gradient clipping‏‎ (1 revision)
384. Hierarchical clustering‏‎ (1 revision)
385. Pooling‏‎ (1 revision)
386. Recurrent neural network‏‎ (1 revision)
387. Rotational invariance‏‎ (1 revision)
388. Sequence model‏‎ (1 revision)
389. Size invariance‏‎ (1 revision)
390. Spatial pooling‏‎ (1 revision)
391. Stride‏‎ (1 revision)
392. Legal‏‎ (1 revision)
393. Timestep‏‎ (1 revision)
394. Translational invariance‏‎ (1 revision)
395. Vanishing gradient problem‏‎ (1 revision)
396. Bayesian neural network‏‎ (1 revision)
397. Bayesian optimization‏‎ (1 revision)
398. Cloud TPU‏‎ (1 revision)
399. Average precision‏‎ (1 revision)
400. Baseline‏‎ (1 revision)
401. Batch normalization‏‎ (1 revision)
402. Bias (math) or bias term‏‎ (1 revision)
403. Boosting‏‎ (1 revision)
404. Broadcasting‏‎ (1 revision)
405. Calibration layer‏‎ (1 revision)
406. Candidate generation‏‎ (1 revision)
407. Candidate sampling‏‎ (1 revision)
408. Checkpoint‏‎ (1 revision)
409. Co-adaptation‏‎ (1 revision)
410. Collaborative filtering‏‎ (1 revision)
411. Confirmation bias‏‎ (1 revision)
412. Convenience sampling‏‎ (1 revision)
413. Convex function‏‎ (1 revision)
414. Convex optimization‏‎ (1 revision)
415. K-means‏‎ (1 revision)
416. K-median‏‎ (1 revision)
417. Similarity measure‏‎ (1 revision)
418. Sketching‏‎ (1 revision)
419. Time series analysis‏‎ (1 revision)
420. Dataset API (tf.data)‏‎ (1 revision)
421. Co-training‏‎ (1 revision)
422. Convex set‏‎ (1 revision)
423. Cost‏‎ (1 revision)
424. Counterfactual fairness‏‎ (1 revision)
425. Coverage bias‏‎ (1 revision)
426. Cross-entropy‏‎ (1 revision)
427. Cross-validation‏‎ (1 revision)
428. Data analysis‏‎ (1 revision)
429. Data parallelism‏‎ (1 revision)
430. Decision boundary‏‎ (1 revision)
431. Decision threshold‏‎ (1 revision)
432. Deep neural network‏‎ (1 revision)
433. Demographic parity‏‎ (1 revision)
434. Dense layer‏‎ (1 revision)
435. Derived label‏‎ (1 revision)
436. Device‏‎ (1 revision)
437. Dimension reduction‏‎ (1 revision)
438. Dimensions‏‎ (1 revision)
439. Discriminative model‏‎ (1 revision)
440. Discriminator‏‎ (1 revision)
441. Disparate impact‏‎ (1 revision)
442. Disparate treatment‏‎ (1 revision)
443. Dropout regularization‏‎ (1 revision)
444. Eager execution‏‎ (1 revision)
445. Estimator‏‎ (1 revision)
446. GAN‏‎ (1 revision)
447. Earth mover's distance (EMD)‏‎ (1 revision)
448. Empirical risk minimization (ERM)‏‎ (1 revision)
449. Ensemble‏‎ (1 revision)
450. Equality of opportunity‏‎ (1 revision)
451. Equalized odds‏‎ (1 revision)
452. Experimenter's bias‏‎ (1 revision)
453. Fairness constraint‏‎ (1 revision)
454. Fairness metric‏‎ (1 revision)
455. False negative rate‏‎ (1 revision)
456. Feature extraction‏‎ (1 revision)
457. Feature spec‏‎ (1 revision)
458. Federated learning‏‎ (1 revision)
459. Feedforward neural network (FFN)‏‎ (1 revision)
460. Few-shot learning‏‎ (1 revision)
461. Fine tuning‏‎ (1 revision)
462. Full softmax‏‎ (1 revision)
463. Fully connected layer‏‎ (1 revision)
464. Generalized linear model‏‎ (1 revision)
465. Generative adversarial network (GAN)‏‎ (1 revision)
466. Generative model‏‎ (1 revision)
467. Generator‏‎ (1 revision)
468. Gradient‏‎ (1 revision)
469. Summary‏‎ (1 revision)
470. IoU‏‎ (1 revision)
471. Keras‏‎ (1 revision)
472. Kernel Support Vector Machines (KSVMs)‏‎ (1 revision)
473. Layers API (tf.layers)‏‎ (1 revision)
474. Graph‏‎ (1 revision)
475. Graph execution‏‎ (1 revision)
476. Group attribution bias‏‎ (1 revision)
477. Target‏‎ (1 revision)
478. Hashing‏‎ (1 revision)
479. Heuristic‏‎ (1 revision)
480. Hinge loss‏‎ (1 revision)
481. Holdout data‏‎ (1 revision)
482. Hyperplane‏‎ (1 revision)
483. Implicit bias‏‎ (1 revision)
484. In-group bias‏‎ (1 revision)
485. Incompatibility of fairness metrics‏‎ (1 revision)
486. Independently and identically distributed (i.i.d)‏‎ (1 revision)
487. Individual fairness‏‎ (1 revision)
488. Instance‏‎ (1 revision)
489. Inter-rater agreement‏‎ (1 revision)
490. Item matrix‏‎ (1 revision)
491. Items‏‎ (1 revision)
492. Least squares regression‏‎ (1 revision)
493. Logits‏‎ (1 revision)
494. Mean Absolute Error (MAE)‏‎ (1 revision)
495. Mean Squared Error (MSE)‏‎ (1 revision)
496. Metrics API (tf.metrics)‏‎ (1 revision)
497. Momentum‏‎ (1 revision)
498. NaN trap‏‎ (1 revision)
499. NumPy‏‎ (1 revision)
500. Loss surface‏‎ (1 revision)