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[] ACloudGuru - AWS Certified Machine Learning – Specialty 2019

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  • 文件大小:3GB
  • 下载次数:14
  • 最近下载:2021-01-04 23:17:07
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文件列表

  1. 07 Algorithms/014 Algorithms Lab.mp4 196MB
  2. 08 Evaluation and Optimization/007 Evaluation and Optimization Lab.mp4 164MB
  3. 09 Implementation and Operations/009 Implementation and Operations Lab.mp4 164MB
  4. 05 Data Analysis and Visualization/009 Data Analysis and Visualization Lab.mp4 150MB
  5. 06 Modeling/007 Modeling Lab.mp4 144MB
  6. 03 Streaming Data Collection/008 Streaming Data Collection Lab.mp4 126MB
  7. 04 Data Preparation/011 Data Preparation Lab.mp4 104MB
  8. 01 Introduction/003 About This Course.mp4 84MB
  9. 01 Introduction/002 About The Exam.mp4 62MB
  10. 04 Data Preparation/004 Text Feature Engineering.mp4 59MB
  11. 02 Data Collection/004 Machine Learning Data Terminology.mp4 57MB
  12. 04 Data Preparation/009 Helper Tools.mp4 53MB
  13. 07 Algorithms/002 OPTIONAL - Why do we call them Algorithms.mp4 50MB
  14. 06 Modeling/004 SageMaker Modeling.mp4 49MB
  15. 07 Algorithms/003 Concepts.mp4 47MB
  16. 07 Algorithms/004 Regression.mp4 46MB
  17. 03 Streaming Data Collection/003 Kinesis Data Streams.mp4 46MB
  18. 08 Evaluation and Optimization/004 Evaluating Model Accuracy.mp4 45MB
  19. 09 Implementation and Operations/006 Security.mp4 44MB
  20. 09 Implementation and Operations/002 Concepts.mp4 43MB
  21. 06 Modeling/005 SageMaker Training.mp4 39MB
  22. 02 Data Collection/002 Concepts.mp4 37MB
  23. 06 Modeling/002 Concepts.mp4 37MB
  24. 09 Implementation and Operations/004 Amazon SageMaker Deployments.mp4 36MB
  25. 09 Implementation and Operations/007 Monitor and Evaluate.mp4 34MB
  26. 03 Streaming Data Collection/002 Concepts.mp4 33MB
  27. 07 Algorithms/009 Text Analytics.mp4 33MB
  28. 04 Data Preparation/003 Categorical Encoding.mp4 33MB
  29. 02 Data Collection/003 General Data Terminology.mp4 30MB
  30. 07 Algorithms/010 Reinforcement Learning.mp4 29MB
  31. 02 Data Collection/006 AWS Migration Tools.mp4 28MB
  32. 01 Introduction/001 Course Introduction.mp4 28MB
  33. 07 Algorithms/007 Image Analysis.mp4 28MB
  34. 06 Modeling/003 Data Preparation.mp4 27MB
  35. 04 Data Preparation/006 Other Feature Engineering.mp4 27MB
  36. 04 Data Preparation/010 Exam Tips.mp4 27MB
  37. 07 Algorithms/005 Clustering.mp4 25MB
  38. 08 Evaluation and Optimization/005 Model Tuning.mp4 25MB
  39. 07 Algorithms/012 Ensemble Learning.mp4 24MB
  40. 04 Data Preparation/005 Numeric Feature Engineering.mp4 24MB
  41. 07 Algorithms/006 Classification.mp4 24MB
  42. 02 Data Collection/005 AWS Data Stores.mp4 24MB
  43. 04 Data Preparation/002 Concepts.mp4 22MB
  44. 07 Algorithms/013 Exam Tips.mp4 22MB
  45. 03 Streaming Data Collection/006 Kinesis Data Analytics.mp4 22MB
  46. 05 Data Analysis and Visualization/007 Choosing A Visualization.mp4 21MB
  47. 07 Algorithms/008 Anomaly Detection.mp4 20MB
  48. 05 Data Analysis and Visualization/003 Relationships.mp4 20MB
  49. 05 Data Analysis and Visualization/005 Distributions.mp4 20MB
  50. 08 Evaluation and Optimization/002 Concepts.mp4 19MB
  51. 02 Data Collection/001 Introduction.mp4 18MB
  52. 09 Implementation and Operations/003 AI Developer Services.mp4 18MB
  53. 07 Algorithms/011 Forecasting.mp4 17MB
  54. 05 Data Analysis and Visualization/002 Concepts.mp4 17MB
  55. 03 Streaming Data Collection/004 Kinesis Firehose.mp4 17MB
  56. 04 Data Preparation/007 Handling Missing Values.mp4 15MB
  57. 02 Data Collection/008 Exam Tips.mp4 15MB
  58. 09 Implementation and Operations/008 Exam Tips.mp4 14MB
  59. 05 Data Analysis and Visualization/004 Comparisons.mp4 13MB
  60. 02 Data Collection/007 AWS Helper Tools.mp4 12MB
  61. 03 Streaming Data Collection/005 Kinesis Video Streams.mp4 12MB
  62. 04 Data Preparation/008 Feature Selection.mp4 11MB
  63. 09 Implementation and Operations/010 Deconstruction Lab.mp4 11MB
  64. 08 Evaluation and Optimization/003 Monitoring and Analyzing Training Jobs.mp4 11MB
  65. 08 Evaluation and Optimization/006 Exam Tips.mp4 10MB
  66. 05 Data Analysis and Visualization/001 Introduction.mp4 10MB
  67. 05 Data Analysis and Visualization/006 Compositions.mp4 10MB
  68. 06 Modeling/006 Exam Tips.mp4 9MB
  69. 10 Wrap-Up/001 Good Luck.mp4 8MB
  70. 05 Data Analysis and Visualization/008 Exam Tips.mp4 8MB
  71. 09 Implementation and Operations/005 Other ML Deployment Options.mp4 7MB
  72. 03 Streaming Data Collection/007 Exam Tips.mp4 7MB
  73. 04 Data Preparation/001 Introduction.mp4 5MB
  74. 03 Streaming Data Collection/001 Introduction.mp4 4MB
  75. 06 Modeling/001 Introduction.mp4 3MB
  76. 07 Algorithms/001 Introduction.mp4 2MB
  77. 09 Implementation and Operations/001 Introduction.mp4 2MB
  78. 08 Evaluation and Optimization/001 Introduction.mp4 2MB
  79. 03 Streaming Data Collection/007 WHITEPAPER - Streaming Data Solutions on AWS with Amazon Kinesis.pdf 1MB
  80. 02 Data Collection/008 Whitepaper - Migrating to Apache HBase on Amazon S3 on Amazon EMR.pdf 809KB
  81. 02 Data Collection/008 Whitepaper - Big Data Aanlytics Options on AWS.pdf 757KB
  82. 06 Modeling/006 Managing Machine Learning Projects.pdf 747KB
  83. 02 Data Collection/008 Whitepaper - AWS Database Migration Service Best Practices.pdf 583KB
  84. 01 Introduction/002 Exam Blueprint.pdf 543KB
  85. 02 Data Collection/008 Whitepaper - Sizing Cloud Data Warehouses.pdf 368KB
  86. 02 Data Collection/008 Whitepaper - Data Warehousing on AWS.pdf 351KB
  87. 08 Evaluation and Optimization/007 Linear Learner Hyperparameters.html 76KB
  88. 06 Modeling/007 K-Means SageMaker Documentation.html 59KB
  89. 06 Modeling/006 Amazon Machine Learning Key Concepts.html 50KB
  90. 04 Data Preparation/004 tf-idf Vectorizer.html 48KB
  91. 08 Evaluation and Optimization/006 Incremental Training in Amazon SageMaker.html 47KB
  92. 04 Data Preparation/005 scikit-learn StandardScaler (Standardization).html 43KB
  93. 02 Data Collection/006 AWS Glue Classifiers.html 40KB
  94. 04 Data Preparation/005 scikit-learn MinMaxScaler (Normalization).html 34KB
  95. 04 Data Preparation/006 Common Dataset Formats.html 31KB
  96. 07 Algorithms/013 Use Amazon SageMaker Built-in Algorithms.html 30KB
  97. 06 Modeling/007 K-Means Hyperparameters Documentation.html 29KB
  98. 06 Modeling/006 Use Your Own Algorithms with Amazon SageMaker.html 29KB
  99. 03 Streaming Data Collection/003 Kinesis Data Streams Key Concepts.html 28KB
  100. 03 Streaming Data Collection/004 What Is Amazon Kinesis Data Firehose.html 23KB
  101. 04 Data Preparation/009 AWS Glue - How it works.html 21KB
  102. 02 Data Collection/006 Data Pipeline Activities.html 16KB
  103. 03 Streaming Data Collection/006 Create real-time clickstream sessions and run analytics with Amazon Kinesis Data Analytics AWS Glue and Amazon Athena.txt 157B
  104. 08 Evaluation and Optimization/007 Validation Dataset in recordIO Protobuf format (ufo_sightings_validation_recordIO_protobuf.txt 148B
  105. 03 Streaming Data Collection/005 Analyze live video at scale in real time using Amazon Kinesis Video Streams and Amazon SageMaker.txt 144B
  106. 08 Evaluation and Optimization/007 Training Dataset in recordIO Protobuf format (ufo_sightings_train_recordIO_protobuf.txt 142B
  107. 09 Implementation and Operations/009 Jupyter Notebook (ufo-implementation-operations-lab.txt 139B
  108. 03 Streaming Data Collection/008 Create Subset Transformation Query.txt 138B
  109. 08 Evaluation and Optimization/007 Jupyter Notebook (ufo-evaluation-optimization-lab.txt 137B
  110. 03 Streaming Data Collection/008 PutRecord Python program.py 128B
  111. 09 Implementation and Operations/009 Call an Amazon SageMaker model endpoint using Amazon API Gateway and AWS Lambda.txt 127B
  112. 08 Evaluation and Optimization/006 Easily monitor and visualize metrics while training models on Amazon SageMaker.txt 126B
  113. 07 Algorithms/014 Jupyter Notebook (ufo-algorithms-lab.txt 124B
  114. 03 Streaming Data Collection/008 CloudFormation Template (setup data producer).txt 123B
  115. 04 Data Preparation/011 Gender Percentages Query.txt 122B
  116. 05 Data Analysis and Visualization/009 Box Plot Jupyter Notebook (box-plot-example.txt 122B
  117. 06 Modeling/007 Jupyter Notebook (ufo-modeling-lab.txt 122B
  118. 09 Implementation and Operations/009 Sample Request JSON (sample_request.json 119B
  119. 09 Implementation and Operations/009 Lambda Function (lambda_function.py 118B
  120. 04 Data Preparation/011 Age Groupings Query.txt 117B
  121. 04 Data Preparation/011 Gender mapping pyspark code.py 117B
  122. 05 Data Analysis and Visualization/009 my-manifest.json 116B
  123. 06 Modeling/007 UFO Sightings Dataset (ufo_fullset.txt 115B
  124. 07 Algorithms/014 UFO Sightings Dataset (ufo_fullset.txt 115B
  125. 09 Implementation and Operations/009 UFO Full Dataset (ufo_fullset.txt 115B
  126. 05 Data Analysis and Visualization/009 Car Dataset (car_data.txt 112B
  127. 04 Data Preparation/011 User Data (user-data).txt 109B
  128. 03 Streaming Data Collection/008 Lambda function (add-newline-function).txt 108B
  129. 05 Data Analysis and Visualization/008 Amazon QuickSight Announces General Availability of ML Insights.txt 103B
  130. 02 Data Collection/008 Build a Data Lake Foundation with AWS Glue and Amazon S3.txt 96B
  131. 04 Data Preparation/010 Build a Data Lake Foundation with AWS Glue and Amazon S3.txt 96B
  132. 03 Streaming Data Collection/006 Joining and Enriching Streaming Data on Amazon Kinesis.txt 94B
  133. 04 Data Preparation/010 AWS reInvent 2018 Integrate Amazon SageMaker with Apache Spark.txt 88B
  134. 08 Evaluation and Optimization/006 Amazon SageMaker Automatic Model Tuning Using Machine Learning for Machine Learning.txt 67B
  135. 02 Data Collection/006 DMS Release Review.txt 51B
  136. 04 Data Preparation/009 AWS Glue Release Review.txt 51B
  137. [DesireCourse.Net].url 51B
  138. [CourseClub.Me].url 48B
  139. 02 Data Collection/004 Turboencabulator Video.txt 44B
  140. 02 Data Collection/008 AWS reInvent 2018 Effective Data Lakes Challenges and Design Patterns.txt 44B
  141. 02 Data Collection/008 AWS reInvent 2018 Modern Cloud Data Warehousing.txt 44B
  142. 03 Streaming Data Collection/003 AWS reInvent 2018 High Performance Data Streaming with Amazon Kinesis Best Practices.txt 44B
  143. 03 Streaming Data Collection/004 Streaming ETL for Data Lakes using Amazon Kinesis Firehose.txt 44B
  144. 03 Streaming Data Collection/005 Deep Dive - Amazon Kinesis Video Streams.txt 44B
  145. 03 Streaming Data Collection/006 Analyzing Data Streams in Real Time with Amazon Kinesis.txt 44B
  146. 03 Streaming Data Collection/007 Real-Time Machine Learning Using Amazon Kinesis.txt 44B
  147. 04 Data Preparation/009 AWS reInvent 2018 Integrate Amazon SageMaker with Apache Spark.txt 44B
  148. 04 Data Preparation/009 Getting Started with AWS Glue ETL.txt 44B
  149. 04 Data Preparation/009 Using Apache Spark with Amazon SageMaker - AWS Online Tech Talks.txt 44B
  150. 04 Data Preparation/009 What is AWS Glue.txt 44B
  151. 04 Data Preparation/010 AWS reInvent 2018 Building Serverless Analytics Pipelines with AWS Glue.txt 44B
  152. 04 Data Preparation/010 Building Serverless ETL Pipelines with AWS Glue.txt 44B
  153. 05 Data Analysis and Visualization/008 AWS reInvent 2018 Introducing ML Insights with Amazon QuickSight.txt 44B
  154. 08 Evaluation and Optimization/007 Hyperparameter Tuning with Amazon SageMakers Automatic Model Tuning - AWS Online Tech Talks.txt 44B
  155. 02 Data Collection/004 Technobabble.txt 43B
  156. 03 Streaming Data Collection/002 Googles Big Query.txt 35B
  157. 02 Data Collection/004 MNIST Data.txt 34B
  158. 04 Data Preparation/006 MNIST datasets.txt 34B
  159. 05 Data Analysis and Visualization/002 Gapminder Tool.txt 33B
  160. 03 Streaming Data Collection/002 AWS Open Data Registry.txt 31B
  161. 03 Streaming Data Collection/002 UCI Machine Learning Repository.txt 29B
  162. 02 Data Collection/004 Image Net Data.txt 26B
  163. 03 Streaming Data Collection/002 Kaggle.txt 24B
  164. 05 Data Analysis and Visualization/008 Matplotlib Python Library.txt 24B
  165. 03 Streaming Data Collection/008 httpsrandomuser.txt 23B
  166. 04 Data Preparation/011 Most Common Ages Query.txt 21B
  167. 05 Data Analysis and Visualization/009 Jupyter Notebooks.txt 21B