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[ FreeCourseWeb com ] Udemy - Testing and Monitoring Machine Learning Model Deployments
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Name:[ FreeCourseWeb com ] Udemy - Testing and Monitoring Machine Learning Model Deployments
Infohash: 72EEF99997B3863C698AB7EE664308AF0B46144D
Total Size: 2.76 GB
Magnet: Magnet Download
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Last Updated: 2022-05-26 22:47:05 (Update Now)
Torrent added: 2022-05-23 22:06:18
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01 - Introduction
001 Course Curriculum Overview.mp4
001 Course Curriculum Overview_en.vtt
002 Course Requirements.mp4
002 Course Requirements_en.vtt
003 How to Approach This Course (Important).mp4
003 How to Approach This Course (Important)_en.vtt
004 All Notes & Slides For This Course.html
004 Complete-Course-Notes.pdf
004 all-course-slides.pdf
005 FAQ I would like to learn more about the topics not covered.html
02 - Setting the Scene & ML System Lifecycle
001 Deploying a Model to Production.mp4
001 Deploying a Model to Production_en.vtt
002 Course Scenario Predicting House Sale Price.mp4
002 Course Scenario Predicting House Sale Price_en.vtt
003 Setup A Python Installation (Important).mp4
003 Setup A Python Installation (Important)_en.vtt
004 Setup B Git and Github Setup (Advanced users can skip).mp4
004 Setup B Git and Github Setup (Advanced users can skip)_en.vtt
005 Course Github Repo & Data.mp4
005 Course Github Repo & Data_en.vtt
006 Download dataset and Github repo links and guidelines.html
007 Setup C Jupyter Notebook Setup.mp4
007 Setup C Jupyter Notebook Setup_en.vtt
008 Setup D Install Notebook Dependencies.mp4
008 Setup D Install Notebook Dependencies_en.vtt
009 Introduction to the Dataset & Model Pipeline.mp4
009 Introduction to the Dataset & Model Pipeline_en.vtt
010 ML System Lifecycle.mp4
010 ML System Lifecycle_en.vtt
011 Additional Links and Resources.html
03 - Testing Concepts for ML Systems
001 Section Overview.mp4
001 Section Overview_en.vtt
002 Testing Focus in This Course.mp4
002 Testing Focus in This Course_en.vtt
003 Why Test.mp4
003 Why Test_en.vtt
004 Testing Theory.mp4
004 Testing Theory_en.vtt
005 Testing Machine Learning Systems (Important).mp4
005 Testing Machine Learning Systems (Important)_en.vtt
006 Setup A Install Requirements.html
007 Wrap Up.mp4
007 Wrap Up_en.vtt
04 - Unit Testing a Production ML Model
001 Section Overview.mp4
001 Section Overview_en.vtt
002 Code Conventions.mp4
002 Code Conventions_en.vtt
003 Pytest.mp4
003 Pytest_en.vtt
004 Setup - Kaggle Data.mp4
004 Setup - Kaggle Data_en.vtt
005 Download the data set - Text Summary.html
006 Setup 2 - Tox.mp4
006 Setup 2 - Tox_en.vtt
007 Troubleshooting Tox on Windows.mp4
007 Troubleshooting Tox on Windows_en.vtt
008 Troubleshooting Tox on Windows II.html
009 Code Base Overview.mp4
009 Code Base Overview_en.vtt
010 Preprocessing & Feature Engineering Unit Testing Theory - Why Do This.mp4
010 Preprocessing & Feature Engineering Unit Testing Theory - Why Do This_en.vtt
011 Temporary Fix - important.html
012 Preprocessing & Feature Engineering Unit Testing.mp4
012 Preprocessing & Feature Engineering Unit Testing_en.vtt
013 Quick note on git hygiene for the course.html
014 Model Config Unit Testing Theory - Why Do This.mp4
014 Model Config Unit Testing Theory - Why Do This_en.vtt
015 Model Config Unit Testing.mp4
015 Model Config Unit Testing_en.vtt
016 Input Data Testing Theory - Why Do This.mp4
016 Input Data Testing Theory - Why Do This_en.vtt
017 Input Data Unit Testing.mp4
017 Input Data Unit Testing_en.vtt
018 Model Quality Unit Testing Theory - Why Do This.mp4
018 Model Quality Unit Testing Theory - Why Do This_en.vtt
019 Model Quality Unit Testing.mp4
019 Model Quality Unit Testing_en.vtt
020 Quick Lecture on Tooling Improvements.mp4
020 Quick Lecture on Tooling Improvements_en.vtt
021 Wrap Up.mp4
021 Wrap Up_en.vtt
05 - Docker & Docker Compose
001 Section Overview.mp4
001 Section Overview_en.vtt
002 Quick Docker Recap.mp4
002 Quick Docker Recap_en.vtt
003 Why Use Docker.mp4
003 Why Use Docker_en.vtt
004 Introduction to Docker Compose.mp4
004 Introduction to Docker Compose_en.vtt
005 Docker & Docker Compose Installation.mp4
005 Docker & Docker Compose Installation_en.vtt
006 Windows Specific Docker Issue.mp4
006 Windows Specific Docker Issue_en.vtt
007 Important Requirements Fix.html
008 Docker Space Consumption Tips.html
06 - Integration Testing the ML API
001 Section Overview.mp4
001 Section Overview_en.vtt
002 API Conceptual Guide.mp4
002 API Conceptual Guide_en.vtt
003 Overview of the Codebase.mp4
003 Overview of the Codebase_en.vtt
004 Using our Open API Spec Part 1.mp4
004 Using our Open API Spec Part 1_en.vtt
005 WINDOWS SPECIFIC SETUP.html
006 Using our Open API Spec Part 2.mp4
006 Using our Open API Spec Part 2_en.vtt
007 Integration Testing Theory.mp4
007 Integration Testing Theory_en.vtt
008 WORK AROUND LECTURE - 32 bit Operating Systems.html
009 Integration Testing Hands-On Code.mp4
009 Integration Testing Hands-On Code_en.vtt
010 A note on benchmark integration tests.mp4
010 A note on benchmark integration tests_en.vtt
07 - Differential Testing
001 Section Overview.mp4
001 Section Overview_en.vtt
002 Differential Testing Theory.mp4
002 Differential Testing Theory_en.vtt
003 Differential Testing Implementation.mp4
003 Differential Testing Implementation_en.vtt
08 - Shadow Mode Deployments
001 Section Overview.mp4
001 Section Overview_en.vtt
002 Shadow Mode Theory.mp4
002 Shadow Mode Theory_en.vtt
003 Testing Models in Production.mp4
003 Testing Models in Production_en.vtt
004 Tests in Shadow Deployments.mp4
004 Tests in Shadow Deployments_en.vtt
005 Code Overview - DB Setup.mp4
005 Code Overview - DB Setup_en.vtt
006 WINDOWS port mapping.html
007 Gotcha breaking changes in sqlalchemy_utils.html
008 Setup Tests for Shadow Mode.mp4
008 Setup Tests for Shadow Mode_en.vtt
009 Shadow Mode - Asynchronous Implementation.mp4
009 Shadow Mode - Asynchronous Implementation_en.vtt
010 Populate Database with Shadow Predictions.mp4
010 Populate Database with Shadow Predictions_en.vtt
011 Jupyter Demo - Setup.mp4
011 Jupyter Demo - Setup_en.vtt
012 Jupyter Demo - Tests in Shadow Mode.mp4
012 Jupyter Demo - Tests in Shadow Mode_en.vtt
09 - Monitoring - Metrics with Prometheus
001 Section Overview.mp4
001 Section Overview_en.vtt
002 Why Monitor.mp4
002 Why Monitor_en.vtt
003 Monitoring Theory.mp4
003 Monitoring Theory_en.vtt
004 Metrics for Machine Learning Systems.mp4
004 Metrics for Machine Learning Systems_en.vtt
005 Prometheus & Grafana Overview.mp4
005 Prometheus & Grafana Overview_en.vtt
006 [WINDOWS ONLY] Additional Setup.mp4
006 [WINDOWS ONLY] Additional Setup_en.vtt
007 Basic Prometheus Setup - Hands-on.mp4
007 Basic Prometheus Setup - Hands-on_en.vtt
008 Adding Metrics - Hands-on.mp4
008 Adding Metrics - Hands-on_en.vtt
009 Adding Grafana - Hands-on.mp4
009 Adding Grafana - Hands-on_en.vtt
010 Infrastructure Metrics - Hands-on.mp4
010 Infrastructure Metrics - Hands-on_en.vtt
011 Adding Metrics Monitoring to Our Example Project.mp4
011 Adding Metrics Monitoring to Our Example Project_en.vtt
012 Creating an ML System Grafana Dashboard.mp4
012 Creating an ML System Grafana Dashboard_en.vtt
10 - Monitoring - Logs with Kibana
001 Monitoring Logs for ML - Theory.mp4
001 Monitoring Logs for ML - Theory_en.vtt
002 The Elastic Stack (Formerly ELK) - Overview.mp4
002 The Elastic Stack (Formerly ELK) - Overview_en.vtt
003 Kibana Hands-on Exercise.mp4
003 Kibana Hands-on Exercise_en.vtt
004 Integrating Kibana into The Example Project.mp4
004 Integrating Kibana into The Example Project_en.vtt
005 Setting Up a Kibana Dashboard for Model Inputs.mp4
005 Setting Up a Kibana Dashboard for Model Inputs_en.vtt
11 - Conclusion
001 Course Conclusion.mp4
001 Course Conclusion_en.vtt
002 Congratulations.html
12 - Final Section
001 Bonus Lecture - There is more.html
Bonus Resources.txt
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