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[DesireCourse.Com] Udemy - Deployment of Machine Learning Models
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2020-6-3 20:43
2024-9-3 13:17
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3.63 GB
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DesireCourse
Com
Udemy
-
Deployment
of
Machine
Learning
Models
文件列表
1. Introduction/1. Introduction to the course.mp4
37.59MB
1. Introduction/2. Course curriculum overview.mp4
48.21MB
1. Introduction/3. Knowledge requirements.mp4
17.17MB
10. Deploying to a PaaS (Heroku) without Containers/1. 10.1 - Introduction.mp4
26.9MB
10. Deploying to a PaaS (Heroku) without Containers/2. 10.2 - Heroku Account Creation.mp4
20.91MB
10. Deploying to a PaaS (Heroku) without Containers/3. 10.3 - Heroku Config.mp4
32.22MB
10. Deploying to a PaaS (Heroku) without Containers/4. 10.4 - Testing the Deployment Manually.mp4
12.35MB
10. Deploying to a PaaS (Heroku) without Containers/5. 10.5 - Deploying to Heroku via CI.mp4
29.07MB
10. Deploying to a PaaS (Heroku) without Containers/6. 10.6 - Wrap Up.mp4
13.51MB
11. Running Apps with Containers (Docker)/1. 11.1 Introduction to Containers and Docker.mp4
31.51MB
11. Running Apps with Containers (Docker)/2. 11.2 Installing Docker.mp4
26.65MB
11. Running Apps with Containers (Docker)/3. 11.3 Creating Our API App Dockerfile.mp4
21.6MB
11. Running Apps with Containers (Docker)/4. 11.4 Building and Running the Docker Container.mp4
26.73MB
11. Running Apps with Containers (Docker)/5. 11.5 Releasing to Heroku with Docker.mp4
46.93MB
11. Running Apps with Containers (Docker)/6. 11.6 - Wrap Up.mp4
7.73MB
12. Deploying to IaaS (AWS ECS)/1. 12.1 - Introduction to AWS.mp4
18.7MB
12. Deploying to IaaS (AWS ECS)/10. 12.9 - Uploading Images to the Elastic Container Registry (ECR).mp4
49.77MB
12. Deploying to IaaS (AWS ECS)/11. 12.10 - Creating the ECS Cluster with Fargate Launch Method.mp4
38.12MB
12. Deploying to IaaS (AWS ECS)/12. 12.11 - Creating the ECS Cluster with the EC2 Launch Method.mp4
59.91MB
12. Deploying to IaaS (AWS ECS)/13. 12.12 - Updating the Cluster Containers.mp4
30.97MB
12. Deploying to IaaS (AWS ECS)/14. 12.13 - Tearing down the ECS Cluster.mp4
6.96MB
12. Deploying to IaaS (AWS ECS)/15. 12.14 - Deploying to ECS via the CI pipeline.mp4
23.54MB
12. Deploying to IaaS (AWS ECS)/16. 12.15 - Wrap Up.mp4
8.97MB
12. Deploying to IaaS (AWS ECS)/2. 12.2 - AWS Costs and Caution.mp4
25.46MB
12. Deploying to IaaS (AWS ECS)/3. 12.3a - Intro to AWS ECS.mp4
22.79MB
12. Deploying to IaaS (AWS ECS)/4. 12.3b - Container Orchestration Options Kubernetes, ECS, Docker Swarm.mp4
23.79MB
12. Deploying to IaaS (AWS ECS)/5. 12.4 - Create an AWS Account.mp4
4.9MB
12. Deploying to IaaS (AWS ECS)/6. 12.5 - Setting Permissions with IAM.mp4
23.21MB
12. Deploying to IaaS (AWS ECS)/7. 12.6 - Installing the AWS CLI.mp4
28.93MB
12. Deploying to IaaS (AWS ECS)/8. 12.7 - Configuring the AWS CLI.mp4
20.84MB
12. Deploying to IaaS (AWS ECS)/9. 12.8 - Intro the Elastic Container Registry (ECR).mp4
9.37MB
13. A Deep Learning Model with Big Data/1. Challenges of using Big Data in Machine Learning.mp4
15.3MB
13. A Deep Learning Model with Big Data/10. 13.10 - Additional Considerations and Wrap Up.mp4
20.76MB
13. A Deep Learning Model with Big Data/2. Introduction to a Large Dataset - Plant Seedlings Images.mp4
16.65MB
13. A Deep Learning Model with Big Data/3. Building a CNN in the Research Environment.mp4
88.8MB
13. A Deep Learning Model with Big Data/4. Production Code for a CNN Learning Pipeline.mp4
79.51MB
13. A Deep Learning Model with Big Data/5. Reproducibility in Neural Networks.mp4
17.02MB
13. A Deep Learning Model with Big Data/8. 13.8 - Packaging the CNN.mp4
71.88MB
13. A Deep Learning Model with Big Data/9. 13.9 - Adding the CNN to the API.mp4
41.32MB
2. Machine Learning Pipeline - Research Environment/1. Machine Learning Pipeline Overview.mp4
60.54MB
2. Machine Learning Pipeline - Research Environment/10. Getting Ready for Deployment - Demo.mp4
67.84MB
2. Machine Learning Pipeline - Research Environment/11. Bonus Machine Learning Pipeline Additional Resources.mp4
25.43MB
2. Machine Learning Pipeline - Research Environment/2. Machine Learning Pipeline Feature Engineering.mp4
57.72MB
2. Machine Learning Pipeline - Research Environment/3. Machine Learning Pipeline Feature Selection.mp4
48.42MB
2. Machine Learning Pipeline - Research Environment/4. Machine Learning Pipeline Model Building.mp4
17.81MB
2. Machine Learning Pipeline - Research Environment/6. Data Analysis - Demo.mp4
135.44MB
2. Machine Learning Pipeline - Research Environment/7. Feature Engineering - Demo.mp4
98.16MB
2. Machine Learning Pipeline - Research Environment/8. Feature Selection - Demo.mp4
35.38MB
2. Machine Learning Pipeline - Research Environment/9. Model Building - Demo.mp4
34.1MB
3. Machine Learning System Architecture/1. Machine Learning System Architecture and Why it Matters.mp4
10.9MB
3. Machine Learning System Architecture/2. Specific Challenges of Machine Learning Systems.mp4
39.06MB
3. Machine Learning System Architecture/3. Machine Learning System Approaches.mp4
30.02MB
3. Machine Learning System Architecture/4. Machine Learning System Component Breakdown.mp4
29.51MB
3. Machine Learning System Architecture/5. Building a Reproducible Machine Learning Pipeline.mp4
77.09MB
4. Building a Reproducible Machine Learning Pipeline/1. Production Code overview.mp4
19.22MB
4. Building a Reproducible Machine Learning Pipeline/2. Procedural Programming Pipeline.mp4
86.19MB
4. Building a Reproducible Machine Learning Pipeline/3. Designing a Custom Pipeline.mp4
152.88MB
4. Building a Reproducible Machine Learning Pipeline/4. Leveraging a Third Party Pipeline Scikit-Learn.mp4
56.67MB
4. Building a Reproducible Machine Learning Pipeline/5. Third Party Pipeline Create Scikit-Learn compatible Feature Transformers.mp4
84.34MB
4. Building a Reproducible Machine Learning Pipeline/6. Third Party Pipeline Closing Remarks.mp4
9.97MB
4. Building a Reproducible Machine Learning Pipeline/8. Bonus Should feature selection be part of the pipeline.mp4
28.84MB
5. Course Setup and Key Tools/1. Section 5.1 - Introduction.mp4
15.94MB
5. Course Setup and Key Tools/10. Section5.5c - Requirements files Introduction.mp4
9.55MB
5. Course Setup and Key Tools/11. Section5.5d - Virtualenv refresher.mp4
25.36MB
5. Course Setup and Key Tools/12. Section 5.6 - Text Editors IDEs.mp4
12.39MB
5. Course Setup and Key Tools/13. Section 5.7 - Engineering and Python Best Practices.mp4
31.4MB
5. Course Setup and Key Tools/14. Section 5.8 - Wrap Up.mp4
6.02MB
5. Course Setup and Key Tools/2. Section 5.2 - Installing and Configuring Git.mp4
27.83MB
5. Course Setup and Key Tools/3. Section 5.3 - How to Use the Course Resources, Monorepos + Git Refresher.mp4
37.81MB
5. Course Setup and Key Tools/4. Section5.3b - Opening Pull Requests.mp4
36.17MB
5. Course Setup and Key Tools/5. Section5.3c - Primer on Monorepos.mp4
18.35MB
5. Course Setup and Key Tools/6. Section 5.4a - Operating System Differences and Gotchas.mp4
8.21MB
5. Course Setup and Key Tools/7. Section 5.4b - System Path and Pythonpath Demo.mp4
21.83MB
5. Course Setup and Key Tools/8. Section 5.5a - Quick Word for More Advanced Students.mp4
8.2MB
5. Course Setup and Key Tools/9. Section5.5b - Virtualenv Introduction.mp4
79.34MB
6. Creating a Machine Learning Pipeline Application/1. 6.1 - Introduction.mp4
14.28MB
6. Creating a Machine Learning Pipeline Application/10. 6.9 - Wrap Up.mp4
13.25MB
6. Creating a Machine Learning Pipeline Application/2. 6.2 - Training the Model.mp4
46.22MB
6. Creating a Machine Learning Pipeline Application/3. 6.3 - Connecting the Pipeline.mp4
45.35MB
6. Creating a Machine Learning Pipeline Application/5. 6.4 - Making Predictions with the Model.mp4
44.75MB
6. Creating a Machine Learning Pipeline Application/6. 6.5 - Data Validation in the Model Package.mp4
32.49MB
6. Creating a Machine Learning Pipeline Application/7. 6.6 - Feature Engineering in the Pipeline.mp4
26.21MB
6. Creating a Machine Learning Pipeline Application/8. 6.7 - Versioning and Logging.mp4
70.44MB
6. Creating a Machine Learning Pipeline Application/9. 6.8 - Building the Package.mp4
75.89MB
7. Serving the model via REST API/1. 7.1 - Introduction.mp4
25.05MB
7. Serving the model via REST API/2. 7.2 - Creating the API Skeleton.mp4
35.35MB
7. Serving the model via REST API/3. 7.2b - Flask Crash Course.mp4
17.81MB
7. Serving the model via REST API/4. 7.3 - Adding Config and Logging.mp4
33.04MB
7. Serving the model via REST API/5. 7.4 - Adding the Prediction Endpoint.mp4
38.94MB
7. Serving the model via REST API/6. 7.5 - Adding a Version Endpoint.mp4
15.41MB
7. Serving the model via REST API/7. 7.6 - API Schema Validation.mp4
78.1MB
7. Serving the model via REST API/8. 7.7 - Wrap Up.mp4
6.33MB
8. Continuous Integration and Deployment Pipelines/1. 8.1 - Introduction to CICD.mp4
28.39MB
8. Continuous Integration and Deployment Pipelines/1.1 section8.1.mp4.mp4
41.89MB
8. Continuous Integration and Deployment Pipelines/2. 8.2 - Setting up CircleCI.mp4
10.6MB
8. Continuous Integration and Deployment Pipelines/3. 8.3 - Setup Circle CI Config.mp4
50.83MB
8. Continuous Integration and Deployment Pipelines/4. 8.4 - Publishing the Model to Gemfury.mp4
69.12MB
8. Continuous Integration and Deployment Pipelines/5. 8.5 - Testing the CI Pipeline.mp4
50.13MB
8. Continuous Integration and Deployment Pipelines/6. 8.6 - Wrap Up.mp4
5.33MB
9. Differential Testing/1. 9.1 - Introduction.mp4
18.61MB
9. Differential Testing/2. 9.2 - Setting up Differential Tests.mp4
50.22MB
9. Differential Testing/3. 9.3 - Differential Tests in CI (Part 1 of 2).mp4
33.56MB
9. Differential Testing/4. 9.4 - Differential Tests in CI (Part 2 of 2).mp4
32.83MB
9. Differential Testing/5. 9.5 Wrap Up.mp4
12.68MB
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