Create Tool:
Create Time:1970-01-01 08:00:00
File Size:9.70 GB
File Count:53
File Hash:a112f57128a8a94aeed1bb5e7d7849d3067e6130
| 01 - AWS Certified Machine Learning-Specialty (ML-S) - Introduction.mp4 | 64.76 MB |
| 02 - Learning objectives.mp4 | 38.07 MB |
| 03 - 1.1 Get an overview of the certification.mp4 | 181.26 MB |
| 04 - 1.2 Use exam study resources.mp4 | 90.59 MB |
| 05 - 1.3 Review the exam guide.mp4 | 331.57 MB |
| 06 - 1.4 Learn the exam strategy.mp4 | 87.00 MB |
| 07 - 1.5 Learn the best practices of ML on AWS.mp4 | 108.77 MB |
| 08 - 1.6 Learn the techniques to accelerate hands-on practice.mp4 | 90.06 MB |
| 09 - 1.7 Understand important ML related services.mp4 | 699.75 MB |
| 10 - Learning objectives.mp4 | 36.07 MB |
| 11 - 2.1 Learn data ingestion concepts.mp4 | 640.68 MB |
| 12 - 2.2 Using data cleaning and preparation.mp4 | 143.95 MB |
| 13 - 2.3 Learn data storage concepts.mp4 | 227.46 MB |
| 14 - 2.4 Learn ETL solutions (Extract-Transform-Load).mp4 | 362.27 MB |
| 15 - 2.5 Understand data batch vs data streaming.mp4 | 110.68 MB |
| 16 - 2.6 Understand data security.mp4 | 162.01 MB |
| 17 - 2.7 Learn data backup and recovery concepts.mp4 | 210.18 MB |
| 18 - Learning objectives.mp4 | 29.58 MB |
| 19 - 3.1 Understand data visualization - Overview.mp4 | 217.14 MB |
| 20 - 3.2 Learn Clustering.mp4 | 159.48 MB |
| 21 - 3.3 Use Summary Statistics.mp4 | 79.59 MB |
| 22 - 3.4 Implement Heatmap.mp4 | 53.80 MB |
| 23 - 3.5 Understand Principal Component Analysis (PCA).mp4 | 91.79 MB |
| 24 - 3.6 Understand data distributions.mp4 | 91.86 MB |
| 25 - 3.7 Use data normalization techniques.mp4 | 112.18 MB |
| 26 - Learning objectives.mp4 | 25.55 MB |
| 27 - 4.1 Understand AWS ML Systems - Overview (Sagemaker, AWS ML, EMR, MXNet).mp4 | 430.45 MB |
| 28 - 4.2 Use Feature Engineering.mp4 | 271.25 MB |
| 29 - 4.3 Train a Model.mp4 | 115.57 MB |
| 30 - 4.4 Evaluate a Model.mp4 | 145.17 MB |
| 31 - 4.5 Tune a Model.mp4 | 84.48 MB |
| 32 - 4.6 Understand ML Inference.mp4 | 153.58 MB |
| 33 - 4.7 Understand Deep Learning on AWS.mp4 | 292.69 MB |
| 34 - Learning objectives.mp4 | 34.14 MB |
| 35 - 5.1 Understand ML operations - Overview.mp4 | 189.53 MB |
| 36 - 5.2 Use Containerization with Machine Learning and Deep Learning.mp4 | 233.40 MB |
| 37 - 5.3 Implement continuous deployment and delivery for Machine Learning.mp4 | 176.40 MB |
| 38 - 5.4 Understand A_B Testing production deployment.mp4 | 68.63 MB |
| 39 - 5.5 Troubleshoot production deployment.mp4 | 165.17 MB |
| 40 - 5.6 Understand production security.mp4 | 208.18 MB |
| 41 - 5.7 Understand cost and efficiency of ML systems.mp4 | 229.19 MB |
| 42 - Learning objectives.mp4 | 25.93 MB |
| 43 - 6.1 Create Machine Learning Data Pipeline.mp4 | 281.18 MB |
| 44 - 6.2 Perform Exploratory Data Analysis using AWS Sagemaker.mp4 | 200.25 MB |
| 45 - 6.3 Create Machine Learning Model using AWS Sagemaker.mp4 | 226.35 MB |
| 46 - 6.4 Deploy Machine Learning Model using AWS Sagemaker.mp4 | 284.22 MB |
| 47 - Learning objectives.mp4 | 28.57 MB |
| 48 - 7.1 Sagemaker Features.mp4 | 681.50 MB |
| 49 - 7.2 DeepLense Features.mp4 | 331.77 MB |
| 50 - 7.3 Kinesis Features.mp4 | 182.80 MB |
| 51 - 7.4 AWS Flavored Python.mp4 | 160.63 MB |
| 52 - 7.5 Cloud9.mp4 | 266.49 MB |
| 53 - AWS Certified Machine Learning-Specialty (ML-S) - Summary.mp4 | 20.80 MB |
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