Coursera Machine Learning Specialization

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Files
  1. 01_welcome.en.srt5.4 KB
  2. 01_welcome.en.txt2.8 KB
  3. 01_welcome.mp410.6 MB
  4. 02_neurons-and-the-brain.en.srt18.3 KB
  5. 02_neurons-and-the-brain.en.txt9.5 KB
  6. 02_neurons-and-the-brain.mp426.9 MB
  7. 03_demand-prediction.en.srt26.6 KB
  8. 03_demand-prediction.en.txt14.0 KB
  9. 03_demand-prediction.mp424.2 MB
  10. 04_example-recognizing-images.en.srt10.2 KB
  11. 04_example-recognizing-images.en.txt5.3 KB
  12. 04_example-recognizing-images.mp414.6 MB
  13. 05_important-have-questions-issues-or-ideas-join-our-forum_instructions.html1.6 KB
  14. 01_neural-network-layer.en.srt13.0 KB
  15. 01_neural-network-layer.en.txt6.8 KB
  16. 01_neural-network-layer.mp420.4 MB
  17. 02_more-complex-neural-networks.en.srt11.7 KB
  18. 02_more-complex-neural-networks.en.txt6.1 KB
  19. 02_more-complex-neural-networks.mp417.0 MB
  20. 03_inference-making-predictions-forward-propagation.en.srt7.0 KB
  21. 03_inference-making-predictions-forward-propagation.en.txt4.3 KB
  22. 03_inference-making-predictions-forward-propagation.mp412.6 MB
  23. 01_inference-in-code.en.srt10.0 KB
  24. 01_inference-in-code.en.txt5.2 KB
  25. 01_inference-in-code.mp416.8 MB
  26. 02_data-in-tensorflow.en.srt13.2 KB
  27. 02_data-in-tensorflow.en.txt8.3 KB
  28. 02_data-in-tensorflow.mp424.8 MB
  29. 03_building-a-neural-network.en.srt10.7 KB
  30. 03_building-a-neural-network.en.txt6.9 KB
  31. 03_building-a-neural-network.mp424.4 MB
  32. 01_forward-prop-in-a-single-layer.en.srt6.1 KB
  33. 01_forward-prop-in-a-single-layer.en.txt3.8 KB
  34. 01_forward-prop-in-a-single-layer.mp412.4 MB
  35. 02_general-implementation-of-forward-propagation.en.srt11.6 KB
  36. 02_general-implementation-of-forward-propagation.en.txt6.0 KB
  37. 02_general-implementation-of-forward-propagation.mp421.3 MB
  38. 01_is-there-a-path-to-agi.en.srt16.4 KB
  39. 01_is-there-a-path-to-agi.en.txt8.6 KB
  40. 01_is-there-a-path-to-agi.mp428.1 MB
  41. 01_how-neural-networks-are-implemented-efficiently.en.srt6.1 KB
  42. 01_how-neural-networks-are-implemented-efficiently.en.txt3.2 KB
  43. 01_how-neural-networks-are-implemented-efficiently.mp412.2 MB
  44. 02_matrix-multiplication.en.srt12.3 KB
  45. 02_matrix-multiplication.en.txt6.4 KB
  46. 02_matrix-multiplication.mp415.9 MB
  47. 03_matrix-multiplication-rules.en.srt11.4 KB
  48. 03_matrix-multiplication-rules.en.txt7.1 KB
  49. 03_matrix-multiplication-rules.mp416.1 MB
  50. 04_matrix-multiplication-code.en.srt8.8 KB
  51. 04_matrix-multiplication-code.en.txt4.6 KB
  52. 04_matrix-multiplication-code.mp413.4 MB
  53. 01_tensorflow-implementation.en.srt5.9 KB
  54. 01_tensorflow-implementation.en.txt3.1 KB
  55. 01_tensorflow-implementation.mp411.4 MB
  56. 02_training-details.en.srt20.9 KB
  57. 02_training-details.en.txt10.9 KB
  58. 02_training-details.mp424.1 MB
  59. 01_alternatives-to-the-sigmoid-activation.en.srt6.8 KB
  60. 01_alternatives-to-the-sigmoid-activation.en.txt4.3 KB
  61. 01_alternatives-to-the-sigmoid-activation.mp412.0 MB
  62. 02_choosing-activation-functions.en.srt13.8 KB
  63. 02_choosing-activation-functions.en.txt7.2 KB
  64. 02_choosing-activation-functions.mp423.4 MB
  65. 03_why-do-we-need-activation-functions.en.srt7.6 KB
  66. 03_why-do-we-need-activation-functions.en.txt4.0 KB
  67. 03_why-do-we-need-activation-functions.mp412.9 MB
  68. 01_multiclass.en.srt4.3 KB
  69. 01_multiclass.en.txt2.8 KB
  70. 01_multiclass.mp48.4 MB
  71. 02_softmax.en.srt15.4 KB
  72. 02_softmax.en.txt7.9 KB
  73. 02_softmax.mp420.7 MB
  74. 03_neural-network-with-softmax-output.en.srt9.1 KB
  75. 03_neural-network-with-softmax-output.en.txt5.8 KB
  76. 03_neural-network-with-softmax-output.mp415.0 MB
  77. 04_improved-implementation-of-softmax.en.srt13.4 KB
  78. 04_improved-implementation-of-softmax.en.txt7.1 KB
  79. 04_improved-implementation-of-softmax.mp415.1 MB
  80. 05_classification-with-multiple-outputs-optional.en.srt6.8 KB
  81. 05_classification-with-multiple-outputs-optional.en.txt3.6 KB
  82. 05_classification-with-multiple-outputs-optional.mp411.3 MB
  83. 01_advanced-optimization.en.srt10.5 KB
  84. 01_advanced-optimization.en.txt5.6 KB
  85. 01_advanced-optimization.mp415.6 MB
  86. 02_additional-layer-types.en.srt11.3 KB
  87. 02_additional-layer-types.en.txt7.2 KB
  88. 02_additional-layer-types.mp419.5 MB
  89. 01_what-is-a-derivative-optional.en.srt29.7 KB
  90. 01_what-is-a-derivative-optional.en.txt15.2 KB
  91. 01_what-is-a-derivative-optional.mp438.3 MB
  92. 02_computation-graph-optional.en.srt26.4 KB
  93. 02_computation-graph-optional.en.txt13.6 KB
  94. 02_computation-graph-optional.mp430.0 MB
  95. 03_larger-neural-network-example-optional.en.srt11.9 KB
  96. 03_larger-neural-network-example-optional.en.txt7.3 KB
  97. 03_larger-neural-network-example-optional.mp426.1 MB
  98. 01_deciding-what-to-try-next.en.srt6.8 KB
  99. 01_deciding-what-to-try-next.en.txt3.6 KB
  100. 01_deciding-what-to-try-next.mp411.4 MB
  101. 02_evaluating-a-model.en.srt12.8 KB
  102. 02_evaluating-a-model.en.txt8.2 KB
  103. 02_evaluating-a-model.mp419.5 MB
  104. 03_model-selection-and-training-cross-validation-test-sets.en.srt21.3 KB
  105. 03_model-selection-and-training-cross-validation-test-sets.en.txt11.2 KB
  106. 03_model-selection-and-training-cross-validation-test-sets.mp429.6 MB
  107. 01_diagnosing-bias-and-variance.en.srt17.8 KB
  108. 01_diagnosing-bias-and-variance.en.txt9.2 KB
  109. 01_diagnosing-bias-and-variance.mp420.3 MB
  110. 02_regularization-and-bias-variance.en.srt16.3 KB
  111. 02_regularization-and-bias-variance.en.txt8.3 KB
  112. 02_regularization-and-bias-variance.mp421.1 MB
  113. 03_establishing-a-baseline-level-of-performance.en.srt15.8 KB
  114. 03_establishing-a-baseline-level-of-performance.en.txt8.3 KB
  115. 03_establishing-a-baseline-level-of-performance.mp419.4 MB
  116. 04_learning-curves.en.srt20.1 KB
  117. 04_learning-curves.en.txt10.5 KB
  118. 04_learning-curves.mp423.3 MB
  119. 05_deciding-what-to-try-next-revisited.en.srt14.5 KB
  120. 05_deciding-what-to-try-next-revisited.en.txt7.8 KB
  121. 05_deciding-what-to-try-next-revisited.mp428.0 MB
  122. 06_bias-variance-and-neural-networks.en.srt14.6 KB
  123. 06_bias-variance-and-neural-networks.en.txt9.5 KB
  124. 06_bias-variance-and-neural-networks.mp426.9 MB
  125. 01_iterative-loop-of-ml-development.en.srt12.1 KB
  126. 01_iterative-loop-of-ml-development.en.txt6.4 KB
  127. 01_iterative-loop-of-ml-development.mp414.8 MB
  128. 02_error-analysis.en.srt13.2 KB
  129. 02_error-analysis.en.txt7.1 KB
  130. 02_error-analysis.mp417.5 MB
  131. 03_adding-data.en.srt18.9 KB
  132. 03_adding-data.en.txt12.0 KB
  133. 03_adding-data.mp432.9 MB
  134. 04_transfer-learning-using-data-from-a-different-task.en.srt20.2 KB
  135. 04_transfer-learning-using-data-from-a-different-task.en.txt10.5 KB
  136. 04_transfer-learning-using-data-from-a-different-task.mp419.0 MB
  137. 05_full-cycle-of-a-machine-learning-project.en.srt14.5 KB
  138. 05_full-cycle-of-a-machine-learning-project.en.txt7.7 KB
  139. 05_full-cycle-of-a-machine-learning-project.mp416.4 MB
  140. 06_fairness-bias-and-ethics.en.srt13.4 KB
  141. 06_fairness-bias-and-ethics.en.txt8.6 KB
  142. 06_fairness-bias-and-ethics.mp425.3 MB
  143. 01_error-metrics-for-skewed-datasets.en.srt17.0 KB
  144. 01_error-metrics-for-skewed-datasets.en.txt8.9 KB
  145. 01_error-metrics-for-skewed-datasets.mp419.0 MB
  146. 02_trading-off-precision-and-recall.en.srt18.3 KB
  147. 02_trading-off-precision-and-recall.en.txt9.6 KB
  148. 02_trading-off-precision-and-recall.mp422.2 MB
  149. 01_decision-tree-model.en.srt10.8 KB
  150. 01_decision-tree-model.en.txt5.7 KB
  151. 01_decision-tree-model.mp414.8 MB
  152. 02_learning-process.en.srt18.0 KB
  153. 02_learning-process.en.txt9.4 KB
  154. 02_learning-process.mp429.0 MB
  155. 01_measuring-purity.en.srt10.2 KB
  156. 01_measuring-purity.en.txt5.4 KB
  157. 01_measuring-purity.mp416.0 MB
  158. 02_choosing-a-split-information-gain.en.srt17.4 KB
  159. 02_choosing-a-split-information-gain.en.txt9.0 KB
  160. 02_choosing-a-split-information-gain.mp423.8 MB
  161. 03_putting-it-together.en.srt14.6 KB
  162. 03_putting-it-together.en.txt7.8 KB
  163. 03_putting-it-together.mp418.4 MB
  164. 04_using-one-hot-encoding-of-categorical-features.en.srt6.6 KB
  165. 04_using-one-hot-encoding-of-categorical-features.en.txt4.3 KB
  166. 04_using-one-hot-encoding-of-categorical-features.mp414.2 MB
  167. 05_continuous-valued-features.en.srt8.6 KB
  168. 05_continuous-valued-features.en.txt5.5 KB
  169. 05_continuous-valued-features.mp415.9 MB
  170. 06_regression-trees-optional.en.srt12.2 KB
  171. 06_regression-trees-optional.en.txt7.7 KB
  172. 06_regression-trees-optional.mp418.9 MB
  173. 01_using-multiple-decision-trees.en.srt6.4 KB
  174. 01_using-multiple-decision-trees.en.txt3.4 KB
  175. 01_using-multiple-decision-trees.mp412.5 MB
  176. 02_sampling-with-replacement.en.srt6.5 KB
  177. 02_sampling-with-replacement.en.txt3.4 KB
  178. 02_sampling-with-replacement.mp414.3 MB
  179. 03_random-forest-algorithm.en.srt8.8 KB
  180. 03_random-forest-algorithm.en.txt5.6 KB
  181. 03_random-forest-algorithm.mp412.7 MB
  182. 04_xgboost.en.srt9.4 KB
  183. 04_xgboost.en.txt6.0 KB
  184. 04_xgboost.mp421.1 MB
  185. 05_when-to-use-decision-trees.en.srt10.5 KB
  186. 05_when-to-use-decision-trees.en.txt5.6 KB
  187. 05_when-to-use-decision-trees.mp417.5 MB
  188. 01_important-reminder-about-end-of-access-to-lab-notebooks_instructions.html2.2 KB
  189. 01_andrew-ng-and-chris-manning-on-natural-language-processing.en.srt63.9 KB
  190. 01_andrew-ng-and-chris-manning-on-natural-language-processing.en.txt39.8 KB
  191. 01_andrew-ng-and-chris-manning-on-natural-language-processing.mp4236.2 MB
  192. 01_acknowledgements_instructions.html5.3 KB
  193. 01_welcome-to-machine-learning.en.srt3.9 KB
  194. 01_welcome-to-machine-learning.en.txt2.4 KB
  195. 01_welcome-to-machine-learning.mp422.2 MB
  196. 02_applications-of-machine-learning.en.srt7.5 KB
  197. 02_applications-of-machine-learning.en.txt3.9 KB
  198. 02_applications-of-machine-learning.mp433.4 MB
  199. 03_important-have-questions-issues-or-ideas-join-our-forum_instructions.html1.6 KB
  200. 01_what-is-machine-learning.en.srt9.5 KB
  201. 01_what-is-machine-learning.en.txt5.0 KB
  202. 01_what-is-machine-learning.mp426.0 MB
  203. 02_supervised-learning-part-1.en.srt10.8 KB
  204. 02_supervised-learning-part-1.en.txt5.6 KB
  205. 02_supervised-learning-part-1.mp413.9 MB
  206. 03_supervised-learning-part-2.en.srt8.9 KB
  207. 03_supervised-learning-part-2.en.txt5.5 KB
  208. 03_supervised-learning-part-2.mp414.4 MB
  209. 04_unsupervised-learning-part-1.en.srt11.6 KB
  210. 04_unsupervised-learning-part-1.en.txt7.4 KB
  211. 04_unsupervised-learning-part-1.mp418.7 MB
  212. 05_unsupervised-learning-part-2.en.srt5.8 KB
  213. 05_unsupervised-learning-part-2.en.txt3.1 KB
  214. 05_unsupervised-learning-part-2.mp48.2 MB
  215. 06_jupyter-notebooks.en.srt7.3 KB
  216. 06_jupyter-notebooks.en.txt3.9 KB
  217. 06_jupyter-notebooks.mp419.9 MB
  218. 01_linear-regression-model-part-1.en.srt14.8 KB
  219. 01_linear-regression-model-part-1.en.txt7.6 KB
  220. 01_linear-regression-model-part-1.mp420.3 MB
  221. 02_linear-regression-model-part-2.en.srt9.6 KB
  222. 02_linear-regression-model-part-2.en.txt5.0 KB
  223. 02_linear-regression-model-part-2.mp416.2 MB
  224. 03_cost-function-formula.en.srt11.9 KB
  225. 03_cost-function-formula.en.txt6.2 KB
  226. 03_cost-function-formula.mp416.7 MB
  227. 04_cost-function-intuition.en.srt20.2 KB
  228. 04_cost-function-intuition.en.txt10.2 KB
  229. 04_cost-function-intuition.mp429.6 MB
  230. 05_visualizing-the-cost-function.en.srt12.3 KB
  231. 05_visualizing-the-cost-function.en.txt6.3 KB
  232. 05_visualizing-the-cost-function.mp417.3 MB
  233. 06_visualization-examples.en.srt8.7 KB
  234. 06_visualization-examples.en.txt4.6 KB
  235. 06_visualization-examples.mp417.2 MB
  236. 01_gradient-descent.en.srt12.2 KB
  237. 01_gradient-descent.en.txt6.4 KB
  238. 01_gradient-descent.mp422.5 MB
  239. 02_implementing-gradient-descent.en.srt14.2 KB
  240. 02_implementing-gradient-descent.en.txt7.5 KB
  241. 02_implementing-gradient-descent.mp420.9 MB
  242. 03_gradient-descent-intuition.en.srt10.0 KB
  243. 03_gradient-descent-intuition.en.txt5.3 KB
  244. 03_gradient-descent-intuition.mp413.2 MB
  245. 04_learning-rate.en.srt11.2 KB
  246. 04_learning-rate.en.txt6.9 KB
  247. 04_learning-rate.mp416.9 MB
  248. 05_gradient-descent-for-linear-regression.en.srt9.1 KB
  249. 05_gradient-descent-for-linear-regression.en.txt4.9 KB
  250. 05_gradient-descent-for-linear-regression.mp416.4 MB
  251. 06_running-gradient-descent.en.srt7.3 KB
  252. 06_running-gradient-descent.en.txt4.6 KB
  253. 06_running-gradient-descent.mp418.4 MB
  254. 01_multiple-features.en.srt13.4 KB
  255. 01_multiple-features.en.txt6.9 KB
  256. 01_multiple-features.mp418.9 MB
  257. 02_vectorization-part-1.en.srt9.7 KB
  258. 02_vectorization-part-1.en.txt5.1 KB
  259. 02_vectorization-part-1.mp417.3 MB
  260. 03_vectorization-part-2.en.srt10.0 KB
  261. 03_vectorization-part-2.en.txt5.3 KB
  262. 03_vectorization-part-2.mp417.3 MB
  263. 04_gradient-descent-for-multiple-linear-regression.en.srt11.1 KB
  264. 04_gradient-descent-for-multiple-linear-regression.en.txt5.9 KB
  265. 04_gradient-descent-for-multiple-linear-regression.mp419.4 MB
  266. 01_feature-scaling-part-1.en.srt7.6 KB
  267. 01_feature-scaling-part-1.en.txt4.8 KB
  268. 01_feature-scaling-part-1.mp413.6 MB
  269. 02_feature-scaling-part-2.en.srt10.8 KB
  270. 02_feature-scaling-part-2.en.txt5.6 KB
  271. 02_feature-scaling-part-2.mp414.4 MB
  272. 03_checking-gradient-descent-for-convergence.en.srt8.3 KB
  273. 03_checking-gradient-descent-for-convergence.en.txt4.3 KB
  274. 03_checking-gradient-descent-for-convergence.mp411.0 MB
  275. 04_choosing-the-learning-rate.en.srt9.6 KB
  276. 04_choosing-the-learning-rate.en.txt5.1 KB
  277. 04_choosing-the-learning-rate.mp416.3 MB
  278. 05_feature-engineering.en.srt4.9 KB
  279. 05_feature-engineering.en.txt2.5 KB
  280. 05_feature-engineering.mp47.8 MB
  281. 06_polynomial-regression.en.srt9.4 KB
  282. 06_polynomial-regression.en.txt5.0 KB
  283. 06_polynomial-regression.mp422.8 MB
  284. 01_motivations.en.srt12.7 KB
  285. 01_motivations.en.txt7.8 KB
  286. 01_motivations.mp421.0 MB
  287. 02_logistic-regression.en.srt13.3 KB
  288. 02_logistic-regression.en.txt7.0 KB
  289. 02_logistic-regression.mp421.5 MB
  290. 03_decision-boundary.en.srt14.1 KB
  291. 03_decision-boundary.en.txt7.3 KB
  292. 03_decision-boundary.mp418.9 MB
  293. 01_cost-function-for-logistic-regression.en.srt17.1 KB
  294. 01_cost-function-for-logistic-regression.en.txt8.9 KB
  295. 01_cost-function-for-logistic-regression.mp424.6 MB
  296. 02_simplified-cost-function-for-logistic-regression.en.srt7.6 KB
  297. 02_simplified-cost-function-for-logistic-regression.en.txt3.9 KB
  298. 02_simplified-cost-function-for-logistic-regression.mp411.7 MB
  299. 01_gradient-descent-implementation.en.srt9.6 KB
  300. 01_gradient-descent-implementation.en.txt5.0 KB
  301. 01_gradient-descent-implementation.mp412.8 MB
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