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[GigaCourse.Com] Udemy - AWS Certified Machine Learning Specialty MLSC01 NEW 2023

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2023-7-12 18:34 2024-6-27 01:58 92 4.24 GB 135
磁力链接
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迅雷链接
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GigaCourse Com Udemy - AWS Certified Machine Learning Specialty MLSC01 NEW 2023

文件列表
  1. 1 - Lets Get Started/1 - How to Use this Course.mp450.72MB
  2. 1 - Lets Get Started/2 - The MLSC01 Exam.mp418.77MB
  3. 2 - AWS Accounts and IAM/10 - HOL Create IAM User Account.mp430.45MB
  4. 2 - AWS Accounts and IAM/4 - Introduction.mp413.5MB
  5. 2 - AWS Accounts and IAM/5 - AWS Account Overview.mp428.62MB
  6. 2 - AWS Accounts and IAM/6 - HandsOn Lesson HOL Create Your AWS Free Tier Account.mp435.95MB
  7. 2 - AWS Accounts and IAM/7 - HOL Configure Account and Create a Billing Alarm.mp439.35MB
  8. 2 - AWS Accounts and IAM/8 - AWS IAM Overview.mp428.88MB
  9. 2 - AWS Accounts and IAM/9 - IAM Users Groups Roles and Policies.mp462MB
  10. 3 - Compute Storage and Database/11 - Introduction.mp417.17MB
  11. 3 - Compute Storage and Database/12 - Amazon Elastic Compute Cloud EC2.mp438.87MB
  12. 3 - Compute Storage and Database/13 - Amazon Elastic Container Service ECS.mp449.82MB
  13. 3 - Compute Storage and Database/14 - Amazon S3 Overview.mp481.23MB
  14. 3 - Compute Storage and Database/15 - IAM Policies Bucket Policies and ACLs.mp445.13MB
  15. 3 - Compute Storage and Database/16 - Block vs File vs Object Storage.mp452.73MB
  16. 3 - Compute Storage and Database/17 - Amazon EBS.mp449.25MB
  17. 3 - Compute Storage and Database/18 - Amazon Elastic File System EFS.mp420.59MB
  18. 3 - Compute Storage and Database/19 - Amazon FSx.mp441.24MB
  19. 3 - Compute Storage and Database/20 - Amazon DynamoDB.mp442.33MB
  20. 3 - Compute Storage and Database/21 - Amazon Redshift.mp447.91MB
  21. 4 - Data Engineering/22 - Introduction.mp417.47MB
  22. 4 - Data Engineering/23 - Amazon Kinesis.mp48.49MB
  23. 4 - Data Engineering/24 - Amazon Kinesis Data Streams.mp455.31MB
  24. 4 - Data Engineering/25 - Create a Kinesis Data Stream.mp432.19MB
  25. 4 - Data Engineering/26 - Amazon Kinesis Data Firehose.mp440.56MB
  26. 4 - Data Engineering/27 - Create a Kinesis Data Firehose.mp444.78MB
  27. 4 - Data Engineering/28 - Kinesis Data Streams vs Firehose.mp49.18MB
  28. 4 - Data Engineering/29 - Amazon Kinesis Data Analytics.mp432.22MB
  29. 4 - Data Engineering/30 - Amazon Kinesis Video Streams.mp433.16MB
  30. 4 - Data Engineering/31 - AWS Glue.mp442.17MB
  31. 4 - Data Engineering/32 - AWS Glue crawler transformation.mp482.79MB
  32. 4 - Data Engineering/33 - AWS Batch.mp411.88MB
  33. 4 - Data Engineering/34 - AWS Database Migration Service DMS.mp415.76MB
  34. 4 - Data Engineering/35 - AWS Step Functions.mp414.01MB
  35. 4 - Data Engineering/36 - Exam cram.mp442.58MB
  36. 5 - Exploratory Data Analysis/37 - Introduction.mp410.73MB
  37. 5 - Exploratory Data Analysis/38 - CrossIndustry Standard Process for Data Mining CRISPDM.mp440.96MB
  38. 5 - Exploratory Data Analysis/39 - Plots.mp432.3MB
  39. 5 - Exploratory Data Analysis/40 - Data types.mp435.33MB
  40. 5 - Exploratory Data Analysis/41 - Data distribution.mp415.73MB
  41. 5 - Exploratory Data Analysis/42 - Feature Engineering.mp410.11MB
  42. 5 - Exploratory Data Analysis/43 - Data transformation NumbersCategories.mp453.32MB
  43. 5 - Exploratory Data Analysis/44 - Data transformation TextImages.mp487.84MB
  44. 5 - Exploratory Data Analysis/45 - Imputation Techniques.mp432.35MB
  45. 5 - Exploratory Data Analysis/46 - Unbalanced data.mp420.62MB
  46. 5 - Exploratory Data Analysis/47 - Outliers.mp414.34MB
  47. 5 - Exploratory Data Analysis/48 - Amazon Sagemaker Ground Truth.mp441.47MB
  48. 5 - Exploratory Data Analysis/49 - Create a labelling job.mp451.71MB
  49. 5 - Exploratory Data Analysis/50 - Amazon Quicksight.mp429.26MB
  50. 5 - Exploratory Data Analysis/51 - Create an analysis using Quicksight.mp428.38MB
  51. 5 - Exploratory Data Analysis/52 - Amazon Athena.mp429.21MB
  52. 5 - Exploratory Data Analysis/53 - Running SQL queries in Athena.mp444.32MB
  53. 5 - Exploratory Data Analysis/54 - Amazon Elastic Map Reduce EMR.mp458.58MB
  54. 5 - Exploratory Data Analysis/55 - Exam cram.mp458.6MB
  55. 6 - Machine learning/56 - Introduction.mp49.49MB
  56. 6 - Machine learning/57 - Machine Learning categories.mp457.51MB
  57. 6 - Machine learning/58 - Regression.mp417.8MB
  58. 6 - Machine learning/59 - Regression Model evaluation.mp433.34MB
  59. 6 - Machine learning/60 - Classification.mp416.16MB
  60. 6 - Machine learning/61 - Classification Model evaluation.mp4108.04MB
  61. 6 - Machine learning/62 - Dimensionality Reduction.mp433.99MB
  62. 6 - Machine learning/63 - Deep Learning.mp494.98MB
  63. 6 - Machine learning/64 - Natural Language processing NLP.mp419.16MB
  64. 6 - Machine learning/65 - Computer Vision CV.mp425.25MB
  65. 6 - Machine learning/66 - Convolutional Neural Network CNN.mp430.01MB
  66. 6 - Machine learning/67 - Recurrent Neural Network.mp414.83MB
  67. 6 - Machine learning/68 - Neural Network characteristics.mp439.28MB
  68. 6 - Machine learning/69 - Neural Networks problems.mp413.37MB
  69. 6 - Machine learning/70 - OverfittingUnderfitting.mp417.92MB
  70. 6 - Machine learning/71 - Preventing overfitting.mp421.9MB
  71. 6 - Machine learning/72 - Validation techniques.mp417.17MB
  72. 6 - Machine learning/73 - Ensemble learning.mp49.6MB
  73. 6 - Machine learning/74 - Exam cram.mp443.03MB
  74. 7 - AI services/75 - Introduction.mp410.76MB
  75. 7 - AI services/76 - AI services.mp46.12MB
  76. 7 - AI services/77 - Amazon Comprehend.mp432.78MB
  77. 7 - AI services/78 - Customers reviews sentiment analysis.mp485MB
  78. 7 - AI services/79 - Amazon Translate.mp420.1MB
  79. 7 - AI services/80 - Amazon Transcribe.mp420.73MB
  80. 7 - AI services/81 - Amazon Polly.mp418.87MB
  81. 7 - AI services/82 - Amazon Rekognition.mp429.23MB
  82. 7 - AI services/83 - AWS Deeplens.mp429.73MB
  83. 7 - AI services/84 - Amazon Textract.mp434.16MB
  84. 7 - AI services/85 - Amazon Forecast.mp446.19MB
  85. 7 - AI services/86 - Amazon Lex.mp430.03MB
  86. 7 - AI services/87 - Amazon Fraud detector.mp419.65MB
  87. 7 - AI services/88 - Exam cram.mp47.1MB
  88. 8 - Modelling/100 - Object Detection.mp418.65MB
  89. 8 - Modelling/101 - Semantic Segmentation.mp419.39MB
  90. 8 - Modelling/102 - Seq2Seq.mp415.88MB
  91. 8 - Modelling/103 - BLazingText.mp421.8MB
  92. 8 - Modelling/104 - Neural Topic Model NTM.mp413.57MB
  93. 8 - Modelling/105 - Latent Dirichlet Allocation LDA.mp48.72MB
  94. 8 - Modelling/106 - Random Cut Forest RCF.mp418.61MB
  95. 8 - Modelling/107 - Kmeans clustering.mp417.63MB
  96. 8 - Modelling/108 - Object2Vec.mp427.41MB
  97. 8 - Modelling/109 - Principal Component Analysis PCA.mp410.42MB
  98. 8 - Modelling/110 - IP insights.mp423.8MB
  99. 8 - Modelling/111 - Reinforcement learning.mp422.17MB
  100. 8 - Modelling/112 - Builtin algorithms recap.mp429.13MB
  101. 8 - Modelling/113 - Docker containers with Sagemaker.mp484.14MB
  102. 8 - Modelling/114 - XGBoost Churn prediction.mp463.78MB
  103. 8 - Modelling/115 - Script mode.mp421.59MB
  104. 8 - Modelling/116 - Bring Your Own BYO Docker.mp430.24MB
  105. 8 - Modelling/117 - Sagemaker Instance types.mp416.9MB
  106. 8 - Modelling/118 - Hyperparameter tuning.mp428.06MB
  107. 8 - Modelling/119 - Hyperparameter tuning job.mp434.88MB
  108. 8 - Modelling/120 - Distributed Training.mp429.23MB
  109. 8 - Modelling/121 - Apache Spark with Sagemaker.mp414.55MB
  110. 8 - Modelling/122 - Sagemaker Debugger.mp420.06MB
  111. 8 - Modelling/123 - Sagemaker Autopilot.mp420.09MB
  112. 8 - Modelling/124 - Exam cram.mp439.4MB
  113. 8 - Modelling/89 - Introduction.mp410.03MB
  114. 8 - Modelling/90 - Amazon SageMaker.mp461.39MB
  115. 8 - Modelling/91 - Amazon SageMaker Walkthrough.mp417.66MB
  116. 8 - Modelling/92 - Create an Amazon SageMaker Notebook instance.mp429.21MB
  117. 8 - Modelling/93 - Builtin algorithms overview.mp415MB
  118. 8 - Modelling/94 - Linear Learner.mp435.58MB
  119. 8 - Modelling/95 - XGBoost.mp420.25MB
  120. 8 - Modelling/96 - KNearest Neighbours.mp417.69MB
  121. 8 - Modelling/97 - Factorization machines.mp419.59MB
  122. 8 - Modelling/98 - DeepAR.mp420.35MB
  123. 8 - Modelling/99 - Image classification.mp425.53MB
  124. 9 - Deployment/125 - Introduction.mp412.28MB
  125. 9 - Deployment/126 - Online Inference Realtime.mp4116.91MB
  126. 9 - Deployment/127 - Batch transform.mp49.54MB
  127. 9 - Deployment/128 - Sagemaker Deployment.mp446.19MB
  128. 9 - Deployment/129 - Inference Pipeline.mp431.67MB
  129. 9 - Deployment/130 - SageMaker Monitoring.mp428.86MB
  130. 9 - Deployment/131 - Sagemaker Security.mp441.65MB
  131. 9 - Deployment/132 - Sagemaker Model Monitor.mp430.41MB
  132. 9 - Deployment/133 - Sagemaker Neo and IOT greengrass.mp425.27MB
  133. 9 - Deployment/134 - EC2 Inf1 instances.mp412.14MB
  134. 9 - Deployment/135 - XGBoost Churn prediction deployment.mp453.35MB
  135. 9 - Deployment/136 - Exam cram.mp423.05MB
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