MLS-C00 AWS Certified Machine Learning Specialty - Pearson

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文件数目:53个文件
文件大小:9.7 GB
收录时间:2020-01-27
访问次数:5
相关内容:MLS-C00CertifiedMachineLearningSpecialtyPearson
文件meta
  • 09 - 1.7 Understand important ML related services.mp4
    699.75 MB
  • 48 - 7.1 Sagemaker Features.mp4
    681.5 MB
  • 11 - 2.1 Learn data ingestion concepts.mp4
    640.68 MB
  • 27 - 4.1 Understand AWS ML Systems - Overview (Sagemaker, AWS ML, EMR, MXNet).mp4
    430.45 MB
  • 14 - 2.4 Learn ETL solutions (Extract-Transform-Load).mp4
    362.27 MB
  • 49 - 7.2 DeepLense Features.mp4
    331.77 MB
  • 05 - 1.3 Review the exam guide.mp4
    331.57 MB
  • 33 - 4.7 Understand Deep Learning on AWS.mp4
    292.69 MB
  • 46 - 6.4 Deploy Machine Learning Model using AWS Sagemaker.mp4
    284.22 MB
  • 43 - 6.1 Create Machine Learning Data Pipeline.mp4
    281.18 MB
  • 28 - 4.2 Use Feature Engineering.mp4
    271.25 MB
  • 52 - 7.5 Cloud9.mp4
    266.49 MB
  • 36 - 5.2 Use Containerization with Machine Learning and Deep Learning.mp4
    233.4 MB
  • 41 - 5.7 Understand cost and efficiency of ML systems.mp4
    229.19 MB
  • 13 - 2.3 Learn data storage concepts.mp4
    227.46 MB
  • 45 - 6.3 Create Machine Learning Model using AWS Sagemaker.mp4
    226.35 MB
  • 19 - 3.1 Understand data visualization - Overview.mp4
    217.14 MB
  • 17 - 2.7 Learn data backup and recovery concepts.mp4
    210.18 MB
  • 40 - 5.6 Understand production security.mp4
    208.18 MB
  • 44 - 6.2 Perform Exploratory Data Analysis using AWS Sagemaker.mp4
    200.25 MB
  • 35 - 5.1 Understand ML operations - Overview.mp4
    189.53 MB
  • 50 - 7.3 Kinesis Features.mp4
    182.8 MB
  • 03 - 1.1 Get an overview of the certification.mp4
    181.26 MB
  • 37 - 5.3 Implement continuous deployment and delivery for Machine Learning.mp4
    176.4 MB
  • 39 - 5.5 Troubleshoot production deployment.mp4
    165.17 MB
  • 16 - 2.6 Understand data security.mp4
    162.01 MB
  • 51 - 7.4 AWS Flavored Python.mp4
    160.63 MB
  • 20 - 3.2 Learn Clustering.mp4
    159.48 MB
  • 32 - 4.6 Understand ML Inference.mp4
    153.58 MB
  • 30 - 4.4 Evaluate a Model.mp4
    145.17 MB
  • 12 - 2.2 Using data cleaning and preparation.mp4
    143.95 MB
  • 29 - 4.3 Train a Model.mp4
    115.57 MB
  • 25 - 3.7 Use data normalization techniques.mp4
    112.18 MB
  • 15 - 2.5 Understand data batch vs data streaming.mp4
    110.68 MB
  • 07 - 1.5 Learn the best practices of ML on AWS.mp4
    108.77 MB
  • 24 - 3.6 Understand data distributions.mp4
    91.86 MB
  • 23 - 3.5 Understand Principal Component Analysis (PCA).mp4
    91.79 MB
  • 04 - 1.2 Use exam study resources.mp4
    90.59 MB
  • 08 - 1.6 Learn the techniques to accelerate hands-on practice.mp4
    90.06 MB
  • 06 - 1.4 Learn the exam strategy.mp4
    87 MB
  • 31 - 4.5 Tune a Model.mp4
    84.48 MB
  • 21 - 3.3 Use Summary Statistics.mp4
    79.59 MB
  • 38 - 5.4 Understand A_B Testing production deployment.mp4
    68.63 MB
  • 01 - AWS Certified Machine Learning-Specialty (ML-S) - Introduction.mp4
    64.76 MB
  • 22 - 3.4 Implement Heatmap.mp4
    53.8 MB
  • 02 - Learning objectives.mp4
    38.07 MB
  • 10 - Learning objectives.mp4
    36.07 MB
  • 34 - Learning objectives.mp4
    34.14 MB
  • 18 - Learning objectives.mp4
    29.58 MB
  • 47 - Learning objectives.mp4
    28.57 MB
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