MLS-C00 AWS Certified Machine Learning Specialty - Pearson

• MLS-C00 AWS Certified Machine Learning Specialty - Pearson
• 01 - AWS Certified Machine Learning-Specialty (ML-S) - Introduction.mp4 64.8 MB
• 02 - Learning objectives.mp4 38.1 MB
• 03 - 1.1 Get an overview of the certification.mp4 181.3 MB
• 04 - 1.2 Use exam study resources.mp4 90.6 MB
• 05 - 1.3 Review the exam guide.mp4 331.6 MB
• 06 - 1.4 Learn the exam strategy.mp4 87 MB
• 07 - 1.5 Learn the best practices of ML on AWS.mp4 108.8 MB
• 08 - 1.6 Learn the techniques to accelerate hands-on practice.mp4 90.1 MB
• 09 - 1.7 Understand important ML related services.mp4 699.7 MB
• 10 - Learning objectives.mp4 36.1 MB
• 11 - 2.1 Learn data ingestion concepts.mp4 640.7 MB
• 12 - 2.2 Using data cleaning and preparation.mp4 143.9 MB
• 13 - 2.3 Learn data storage concepts.mp4 227.5 MB
• 14 - 2.4 Learn ETL solutions (Extract-Transform-Load).mp4 362.3 MB
• 15 - 2.5 Understand data batch vs data streaming.mp4 110.7 MB
• 16 - 2.6 Understand data security.mp4 162 MB
• 17 - 2.7 Learn data backup and recovery concepts.mp4 210.2 MB
• 18 - Learning objectives.mp4 29.6 MB
• 19 - 3.1 Understand data visualization - Overview.mp4 217.1 MB
• 20 - 3.2 Learn Clustering.mp4 159.5 MB
• 21 - 3.3 Use Summary Statistics.mp4 79.6 MB
• 22 - 3.4 Implement Heatmap.mp4 53.8 MB
• 23 - 3.5 Understand Principal Component Analysis (PCA).mp4 91.8 MB
• 24 - 3.6 Understand data distributions.mp4 91.9 MB
• 25 - 3.7 Use data normalization techniques.mp4 112.2 MB
• 26 - Learning objectives.mp4 25.6 MB
• 27 - 4.1 Understand AWS ML Systems - Overview (Sagemaker, AWS ML, EMR, MXNet).mp4 430.4 MB
• 28 - 4.2 Use Feature Engineering.mp4 271.2 MB
• 29 - 4.3 Train a Model.mp4 115.6 MB
• 30 - 4.4 Evaluate a Model.mp4 145.2 MB
• 31 - 4.5 Tune a Model.mp4 84.5 MB
• 32 - 4.6 Understand ML Inference.mp4 153.6 MB
• 33 - 4.7 Understand Deep Learning on AWS.mp4 292.7 MB
• 34 - Learning objectives.mp4 34.1 MB
• 35 - 5.1 Understand ML operations - Overview.mp4 189.5 MB
• 36 - 5.2 Use Containerization with Machine Learning and Deep Learning.mp4 233.4 MB
• 37 - 5.3 Implement continuous deployment and delivery for Machine Learning.mp4 176.4 MB
• 38 - 5.4 Understand A_B Testing production deployment.mp4 68.6 MB
• 39 - 5.5 Troubleshoot production deployment.mp4 165.2 MB
• 40 - 5.6 Understand production security.mp4 208.2 MB
• 41 - 5.7 Understand cost and efficiency of ML systems.mp4 229.2 MB
• 42 - Learning objectives.mp4 25.9 MB
• 43 - 6.1 Create Machine Learning Data Pipeline.mp4 281.2 MB
• 44 - 6.2 Perform Exploratory Data Analysis using AWS Sagemaker.mp4 200.2 MB
• 45 - 6.3 Create Machine Learning Model using AWS Sagemaker.mp4 226.3 MB
• 46 - 6.4 Deploy Machine Learning Model using AWS Sagemaker.mp4 284.2 MB
• 47 - Learning objectives.mp4 28.6 MB
• 48 - 7.1 Sagemaker Features.mp4 681.5 MB
• 49 - 7.2 DeepLense Features.mp4 331.8 MB
• 50 - 7.3 Kinesis Features.mp4 182.8 MB
• 51 - 7.4 AWS Flavored Python.mp4 160.6 MB
• 52 - 7.5 Cloud9.mp4 266.5 MB
• 53 - AWS Certified Machine Learning-Specialty (ML-S) - Summary.mp4 20.8 MB

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