Lynda - DevOps for Data Scientists/4.3. Deployment Practices/12.Securing the data science models in production.mp4 |
5.9 MB |
Lynda - DevOps for Data Scientists/1.Introduction/01.Welcome.mp4 |
4 MB |
Lynda - DevOps for Data Scientists/1.Introduction/02.Target audience.en.srt |
1 KB |
Lynda - DevOps for Data Scientists/1.Introduction/02.Target audience.mp4 |
812 KB |
Lynda - DevOps for Data Scientists/2.1. Data Science Development Practices/03.Data science and software engineering.en.srt |
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Lynda - DevOps for Data Scientists/2.1. Data Science Development Practices/03.Data science and software engineering.mp4 |
2.7 MB |
Lynda - DevOps for Data Scientists/2.1. Data Science Development Practices/04.Collecting and munging data.en.srt |
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Lynda - DevOps for Data Scientists/2.1. Data Science Development Practices/04.Collecting and munging data.mp4 |
3.9 MB |
Lynda - DevOps for Data Scientists/2.1. Data Science Development Practices/05.Experimenting with data, features, and algorithms.en.srt |
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Lynda - DevOps for Data Scientists/2.1. Data Science Development Practices/05.Experimenting with data, features, and algorithms.mp4 |
4.3 MB |
Lynda - DevOps for Data Scientists/2.1. Data Science Development Practices/06.Testing and validating models.en.srt |
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Lynda - DevOps for Data Scientists/2.1. Data Science Development Practices/06.Testing and validating models.mp4 |
2.5 MB |
Lynda - DevOps for Data Scientists/3.2. Data Science Models to Production/07.Version control for data science models.en.srt |
5 KB |
Lynda - DevOps for Data Scientists/3.2. Data Science Models to Production/07.Version control for data science models.mp4 |
4.1 MB |
Lynda - DevOps for Data Scientists/3.2. Data Science Models to Production/08.Predictive Model Markup Language.en.srt |
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Lynda - DevOps for Data Scientists/3.2. Data Science Models to Production/08.Predictive Model Markup Language.mp4 |
3.8 MB |
Lynda - DevOps for Data Scientists/3.2. Data Science Models to Production/09.Deploying models with automation tools.en.srt |
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Lynda - DevOps for Data Scientists/3.2. Data Science Models to Production/09.Deploying models with automation tools.mp4 |
2.1 MB |
Lynda - DevOps for Data Scientists/4.3. Deployment Practices/10.Deploying to staging environment.en.srt |
2 KB |
Lynda - DevOps for Data Scientists/4.3. Deployment Practices/10.Deploying to staging environment.mp4 |
1.7 MB |
Lynda - DevOps for Data Scientists/4.3. Deployment Practices/11.Canary deployments.en.srt |
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Lynda - DevOps for Data Scientists/4.3. Deployment Practices/11.Canary deployments.mp4 |
1.8 MB |
Lynda - DevOps for Data Scientists/4.3. Deployment Practices/12.Securing the data science models in production.en.srt |
8 KB |
Lynda - DevOps for Data Scientists/1.Introduction/01.Welcome.en.srt |
2 KB |
Lynda - DevOps for Data Scientists/4.3. Deployment Practices/13.Monitoring models in production.en.srt |
4 KB |
Lynda - DevOps for Data Scientists/4.3. Deployment Practices/13.Monitoring models in production.mp4 |
4.3 MB |
Lynda - DevOps for Data Scientists/5.4. Data Science Models in Containers/14.Introduction to Docker.en.srt |
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Lynda - DevOps for Data Scientists/5.4. Data Science Models in Containers/14.Introduction to Docker.mp4 |
2.4 MB |
Lynda - DevOps for Data Scientists/5.4. Data Science Models in Containers/15.Creating a Dockerfile for data science models.en.srt |
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Lynda - DevOps for Data Scientists/5.4. Data Science Models in Containers/15.Creating a Dockerfile for data science models.mp4 |
3.4 MB |
Lynda - DevOps for Data Scientists/5.4. Data Science Models in Containers/16.Data science Docker image repository.en.srt |
3 KB |
Lynda - DevOps for Data Scientists/5.4. Data Science Models in Containers/16.Data science Docker image repository.mp4 |
3.3 MB |
Lynda - DevOps for Data Scientists/6.Conclusion/17.Overview of DevOps best practices for data science.en.srt |
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Lynda - DevOps for Data Scientists/6.Conclusion/17.Overview of DevOps best practices for data science.mp4 |
2.4 MB |