Google Certified Professional Machine Learning Engineer

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Google Certified Professional Machine Learning Engineer
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tutsnode
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English
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Other
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6.5 GB
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2023-07-15 17:01 (3 years, 3 months ago)
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Files
  1. 45 - Part 11 10 Questions.mp4352.4 MB
  2. TutsNode.net.txt63 bytes
  3. 1 - Exam Guide Sample Questions.txt70 bytes
  4. 47 - Part 13 10 Questions English.vtt40.7 KB
  5. 45 - Part 11 10 Questions English.vtt39.8 KB
  6. 44 - Part 10 10 Questions English.vtt39.0 KB
  7. 46 - Part 12 10 Questions English.vtt32.6 KB
  8. 8 - Logistic Regression English.vtt32.2 KB
  9. 14 - Introduction to Neural Networks and Deep Learning English.vtt31.9 KB
  10. 41 - Part 7 10 Questions English.vtt31.6 KB
  11. 43 - Part 9 10 Questions English.vtt31.6 KB
  12. 42 - Part 8 10 Questions English.vtt31.1 KB
  13. 2 - How to Improve Data Quality English.vtt30.5 KB
  14. 40 - Part 6 10 Questions English.vtt30.3 KB
  15. 39 - Part 5 10 Questions English.vtt28.5 KB
  16. 38 - Part 4 10 Questions English.vtt28.0 KB
  17. 48 - Part 14 7 Questions English.vtt25.8 KB
  18. 37 - Part 3 10 Questions English.vtt25.7 KB
  19. 36 - Part 2 10 Questions English.vtt25.1 KB
  20. 16 - Loss Functions English.vtt23.6 KB
  21. 35 - Part 1 10 Questions English.vtt23.5 KB
  22. 34 - Feature Engineering in BigQuery English.vtt22.9 KB
  23. 1 - Introduction English.vtt21.6 KB
  24. 25 - TensorFlow 2 and the Keras Functional API English.vtt21.3 KB
  25. 29 - Export model artifacts for prediction English.vtt8.5 KB
  26. 44 - Explanations.txt66 bytes
  27. 044 bytes
  28. 44 - Part 10 10 Questions.mp4351.2 MB
  29. 15 - Gradient Descent English.vtt21.1 KB
  30. 33 - Vertes AI Vizier English.vtt18.0 KB
  31. 19 - Introduction to Tensorflow English.vtt18.0 KB
  32. 17 - Activation Functions English.vtt17.3 KB
  33. 26 - TensorFlow Extended TFX Overview English.vtt15.4 KB
  34. 7 - Linear Regression English.vtt15.2 KB
  35. 23 - TensorFlow Data Handling English.vtt14.1 KB
  36. 4 - How EDA is Used in Machine Learning English.vtt13.6 KB
  37. 24 - Embeddings English.vtt13.3 KB
  38. 27 - Architecture for MLOps using TensorFlow Extended Vertex AI Pipelines and Cloud English.vtt12.9 KB
  39. 20 - Tensorflow Scalar Vector Matrix 4D Tensors English.vtt12.8 KB
  40. 18 - Ensemble Methods English.vtt12.0 KB
  41. 3 - Exploratory Data Analysis EDA English.vtt10.9 KB
  42. 11 - Evaluating AutoML Models English.vtt10.9 KB
  43. 13 - BigQuery ML Model Types English.vtt10.1 KB
  44. 9 - Machine Learning Vs Deep Learning English.vtt10.0 KB
  45. 28 - Create Custom Training Jobs English.vtt9.3 KB
  46. 6 - Supervised Learning English.vtt8.7 KB
  47. 32 - Vertex Explainable AI English.vtt7.8 KB
  48. 10 - Automated Machine Learning English.vtt7.5 KB
  49. 5 - Data analysis and visualization English.vtt7.1 KB
  50. 22 - Tensorflows tfdataDataset APIs English.vtt7.0 KB
  51. 12 - ML Model Using BigQuery ML English.vtt7.0 KB
  52. 21 - Tensorflow APIs English.vtt4.5 KB
  53. 31 - Vertex AI Model Monitoring English.vtt3.3 KB
  54. 30 - Vertex AI Feature Store English.vtt3.2 KB
  55. [TGx]Downloaded from torrentgalaxy.to .txt585 bytes
  56. 35 - Answers.txt182 bytes
  57. 36 - Answers.txt182 bytes
  58. 37 - Answers.txt182 bytes
  59. 38 - Answers.txt182 bytes
  60. 39 - Answers.txt182 bytes
  61. 40 - Answers.txt182 bytes
  62. 41 - Answers.txt182 bytes
  63. 42 - Answers.txt182 bytes
  64. 43 - Answers.txt182 bytes
  65. 44 - Answers.txt182 bytes
  66. 45 - Answers.txt182 bytes
  67. 46 - Answers.txt182 bytes
  68. 47 - Answers.txt182 bytes
  69. 48 - Answers.txt182 bytes
  70. 35 - QnA.txt111 bytes
  71. 36 - QnA.txt111 bytes
  72. 37 - QnA.txt111 bytes
  73. 38 - QnA.txt111 bytes
  74. 39 - QnA.txt111 bytes
  75. 40 - QnA.txt111 bytes
  76. 41 - QnA.txt111 bytes
  77. 42 - QnA.txt111 bytes
  78. 43 - QnA.txt111 bytes
  79. 44 - QnA.txt111 bytes
  80. 45 - QnA.txt111 bytes
  81. 37 - Explanation.txt65 bytes
  82. 46 - QnA.txt111 bytes
  83. 47 - QnA.txt111 bytes
  84. 48 - QnA.txt111 bytes
  85. 45 - Explanations.txt66 bytes
  86. 38 - Explanation.txt65 bytes
  87. 46 - Explanations.txt66 bytes
  88. 47 - Explanations.txt66 bytes
  89. 48 - Explanations.txt66 bytes
  90. 39 - Explanation.txt65 bytes
  91. 40 - Explanation.txt65 bytes
  92. 41 - Explanation.txt65 bytes
  93. 42 - Explanation.txt65 bytes
  94. 43 - Explanation.txt65 bytes
  95. 1558.8 KB
  96. 47 - Part 13 10 Questions.mp4324.1 MB
  97. 2913.4 KB
  98. 42 - Part 8 10 Questions.mp4321.0 MB
  99. 334.6 KB
  100. 41 - Part 7 10 Questions.mp4291.8 MB
  101. 4243.4 KB
  102. 40 - Part 6 10 Questions.mp4291.7 MB
  103. 5295.8 KB
  104. 43 - Part 9 10 Questions.mp4283.0 MB
  105. 6983.4 KB
  106. 46 - Part 12 10 Questions.mp4274.8 MB
  107. 7244.4 KB
  108. 38 - Part 4 10 Questions.mp4266.6 MB
  109. 8433.3 KB
  110. 39 - Part 5 10 Questions.mp4264.4 MB
  111. 9580.9 KB
  112. 48 - Part 14 7 Questions.mp4235.9 MB
  113. 10119.1 KB
  114. 36 - Part 2 10 Questions.mp4232.8 MB
  115. 11158.1 KB
  116. 37 - Part 3 10 Questions.mp4231.0 MB
  117. 1229.6 KB
  118. 35 - Part 1 10 Questions.mp4204.5 MB
  119. 13542.4 KB
  120. 14 - Introduction to Neural Networks and Deep Learning.mp4186.5 MB
  121. 14462.7 KB
  122. 8 - Logistic Regression.mp4183.2 MB
  123. 15774.1 KB
  124. 34 - Feature Engineering in BigQuery.mp4144.6 MB
  125. 16373.5 KB
  126. 16 - Loss Functions.mp4140.7 MB
  127. 17311.6 KB
  128. 25 - TensorFlow 2 and the Keras Functional API.mp4135.8 MB
  129. 18222.4 KB
  130. 1 - Introduction.mp4132.0 MB
  131. 1921.4 KB
  132. 2 - How to Improve Data Quality.mp4123.7 MB
  133. 20344.9 KB
  134. 19 - Introduction to Tensorflow.mp4108.6 MB
  135. 21437.8 KB
  136. 33 - Vertes AI Vizier.mp4105.7 MB
  137. 22334.5 KB
  138. 20 - Tensorflow Scalar Vector Matrix 4D Tensors.mp497.0 MB
  139. 23993.6 KB
  140. 23 - TensorFlow Data Handling.mp494.8 MB
  141. 24177.9 KB
  142. 17 - Activation Functions.mp494.1 MB
  143. 25887.4 KB
  144. 15 - Gradient Descent.mp491.0 MB
  145. 265.3 KB
  146. 7 - Linear Regression.mp484.0 MB
  147. 2716.6 KB
  148. 4 - How EDA is Used in Machine Learning.mp482.5 MB
  149. 28524.6 KB
  150. 24 - Embeddings.mp480.1 MB
  151. 29953.0 KB
  152. 27 - Architecture for MLOps using TensorFlow Extended Vertex AI Pipelines and Cloud.mp478.2 MB
  153. 30869.6 KB
  154. 26 - TensorFlow Extended TFX Overview.mp476.0 MB
  155. 311005.2 KB
  156. 28 - Create Custom Training Jobs.mp468.7 MB
  157. 32294.2 KB
  158. 18 - Ensemble Methods.mp461.0 MB
  159. 3346.6 KB
  160. 22 - Tensorflows tfdataDataset APIs.mp454.5 MB
  161. 34503.9 KB
  162. 29 - Export model artifacts for prediction.mp452.8 MB
  163. 35177.1 KB
  164. 11 - Evaluating AutoML Models.mp452.2 MB
  165. 36832.0 KB
  166. 3 - Exploratory Data Analysis EDA.mp451.5 MB
  167. 37488.8 KB
  168. 32 - Vertex Explainable AI.mp450.1 MB
  169. 38945.8 KB
  170. 9 - Machine Learning Vs Deep Learning.mp449.6 MB
  171. 39401.6 KB
  172. 13 - BigQuery ML Model Types.mp448.9 MB
  173. 40123.1 KB
  174. 5 - Data analysis and visualization.mp446.4 MB
  175. 41636.5 KB
  176. 6 - Supervised Learning.mp441.5 MB
  177. 42535.1 KB
  178. 12 - ML Model Using BigQuery ML.mp438.8 MB
  179. 43244.9 KB
  180. 21 - Tensorflow APIs.mp426.5 MB
  181. 44465.4 KB
  182. 10 - Automated Machine Learning.mp420.3 MB
  183. 45667.7 KB
  184. 31 - Vertex AI Model Monitoring.mp417.0 MB
  185. 4610.4 KB
  186. 30 - Vertex AI Feature Store.mp414.8 MB

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