Udemy - Testing and Monitoring Machine Learning Model Deployments

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[ FreeCourseWeb.com ] Udemy - Testing and Monitoring Machine Learning Model Deployments
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 - Introduction
    • 001 Course Curriculum Overview.mp4 (10.1 MB)
    • 001 Course Curriculum Overview_en.vtt (3.1 KB)
    • 002 Course Requirements.mp4 (7.1 MB)
    • 002 Course Requirements_en.vtt (2.0 KB)
    • 003 How to Approach This Course (Important).mp4 (18.4 MB)
    • 003 How to Approach This Course (Important)_en.vtt (4.3 KB)
    • 004 All Notes & Slides For This Course.html (0.1 KB)
    • 004 Complete-Course-Notes.pdf (1.1 MB)
    • 004 all-course-slides.pdf (16.1 MB)
    • 005 FAQ I would like to learn more about the topics not covered.html (2.9 KB)
    02 - Setting the Scene & ML System Lifecycle
    • 001 Deploying a Model to Production.mp4 (34.6 MB)
    • 001 Deploying a Model to Production_en.vtt (9.6 KB)
    • 002 Course Scenario Predicting House Sale Price.mp4 (43.3 MB)
    • 002 Course Scenario Predicting House Sale Price_en.vtt (10.4 KB)
    • 003 Setup A Python Installation (Important).mp4 (27.8 MB)
    • 003 Setup A Python Installation (Important)_en.vtt (3.6 KB)
    • 004 Setup B Git and Github Setup (Advanced users can skip).mp4 (25.1 MB)
    • 004 Setup B Git and Github Setup (Advanced users can skip)_en.vtt (2.8 KB)
    • 005 Course Github Repo & Data.mp4 (14.5 MB)
    • 005 Course Github Repo & Data_en.vtt (2.8 KB)
    • 006 Download dataset and Github repo links and guidelines.html (2.4 KB)
    • 007 Setup C Jupyter Notebook Setup.mp4 (13.6 MB)
    • 007 Setup C Jupyter Notebook Setup_en.vtt (2.7 KB)
    • 008 Setup D Install Notebook Dependencies.mp4 (15.9 MB)
    • 008 Setup D Install Notebook Dependencies_en.vtt (2.6 KB)
    • 009 Introduction to the Dataset & Model Pipeline.mp4 (89.9 MB)
    • 009 Introduction to the Dataset & Model Pipeline_en.vtt (15.0 KB)
    • 010 ML System Lifecycle.mp4 (24.5 MB)
    • 010 ML System Lifecycle_en.vtt (7.2 KB)
    • 011 Additional Links and Resources.html (2.6 KB)
    03 - Testing Concepts for ML Systems
    • 001 Section Overview.mp4 (2.4 MB)
    • 001 Section Overview_en.vtt (1.1 KB)
    • 002 Testing Focus in This Course.mp4 (8.6 MB)
    • 002 Testing Focus in This Course_en.vtt (1.7 KB)
    • 003 Why Test.mp4 (20.0 MB)
    • 003 Why Test_en.vtt (4.5 KB)
    • 004 Testing Theory.mp4 (23.7 MB)
    • 004 Testing Theory_en.vtt (4.9 KB)
    • 005 Testing Machine Learning Systems (Important).mp4 (40.0 MB)
    • 005 Testing Machine Learning Systems (Important)_en.vtt (7.8 KB)
    • 006 Setup A Install Requirements.html (0.7 KB)
    • 007 Wrap Up.mp4 (1.3 MB)
    • 007 Wrap Up_en.vtt (0.6 KB)
    04 - Unit Testing a Production ML Model
    • 001 Section Overview.mp4 (2.7 MB)
    • 001 Section Overview_en.vtt (1.0 KB)
    • 002 Code Conventions.mp4 (11.0 MB)
    • 002 Code Conventions_en.vtt (3.2 KB)
    • 003 Pytest.mp4 (56.6 MB)
    • 003 Pytest_en.vtt (10.3 KB)
    • 004 Setup - Kaggle Data.mp4 (20.5 MB)
    • 004 Setup - Kaggle Data_en.vtt (3.3 KB)
    • 005 Download the data set - Text Summary.html (1.3 KB)
    • 006 Setup 2 - Tox.mp4 (33.6 MB)
    • 006 Setup 2 - Tox_en.vtt (5.8 KB)
    • 007 Troubleshooting Tox on Windows.mp4 (13.6 MB)
    • 007 Troubleshooting Tox on Windows_en.vtt (1.3 KB)
    • 008 Troubleshooting Tox on Windows II.html (1.5 KB)
    • 009 Code Base Overview.mp4 (99.5 MB)
    • 009 Code Base Overview_en.vtt (15.8 KB)
    • 010 Preprocessing & Feature Engineering Unit Testing Theory - Why Do This.mp4 (21.3 MB)
    • 010 Preprocessing & Feature Engineering Unit Testing Theory - Why Do This_en.vtt (3.8 KB)
    • 011 Temporary Fix - important.html (0.3 KB)
    • 012 Preprocessing & Feature Engineering Unit Testing.mp4 (80.8 MB)
    • 012 Preprocessing & Feature Engineering Unit Testing_en.vtt (10.9 KB)
    • 013 Quick note on git hygiene for the course.html (0.3 KB)
    • 014 Model Config Unit Testing Theory - Why Do This.mp4 (16.3 MB)
    • 014 Model Config Unit Testing Theory - Why Do This_en.vtt (3.5 KB)
    • 015 Model Config Unit Testing.mp4 (88.5 MB)
    • 015 Model Config Unit Testing_en.vtt (10.2 KB)
    • 016 Input Data Testing Theory - Why Do This.mp4 (19.4 MB)
    • 016 Input Data Testing Theory - Why Do This_en.vtt (3.3 KB)
    • 017 Input Data Unit Testing.mp4 (77.8 MB)
    • 017 Input Data Unit Testing_en.vtt (8.0 KB)
    • 018 Model Quality Unit Testing Theory - Why Do This.mp4 (10.3 MB)
    • 018 Model Quality Unit Testing Theory - Why Do This_en.vtt (3.0 KB)
    • 019 Model Quality Unit Testing.mp4 (74.2 MB)
    • 019 Model Quality Unit Testing_en.vtt (11.0 KB)
    • 020 Quick Lecture on Tooling Improvements.mp4 (22.1 MB)
    • 020 Quick Lecture on Tooling Improvements_en.vtt (2.8 KB)
    • 021 Wrap Up.mp4 (6.7 MB)
    • 021 Wrap Up_en.vtt (2.2 KB)
    05 - Docker & Docker Compose
    • 001 Section Overview.mp4 (2.5 MB)
    • 001 Section Overview_en.vtt (1.0 KB)
    • 002 Quick Docker Recap.mp4 (34.1 MB)
    • 002 Quick Docker Recap_en.vtt (7.0 KB)
    • 003 Why Use Docker.mp4 (27.4 MB)
    • 003 Why Use Docker_en.vtt (7.3 KB)
    • 004 Introduction to Docker Compose.mp4 (18.6 MB)
    • 004 Introduction to Docker Compose_en.vtt (5.1 KB)
    • 005 Docker & Docker Compose Installation.mp4 (52.5 MB)
    • 005 Docker & Docker Compose Installation_en.vtt (6.0 KB)
    • 006 Windows Specific Docker Issue.mp4 (28.8 MB)
    • 006 Windows Specific Docker Issue_en.vtt (3.9 KB)
    • 007 Important Requirements Fix.html (0.3 KB)
    • 008 Docker Space Consumption Tips.html (0.5 KB)
    06 - Integration Testing the ML API
    • 001 Section Overview.mp4 (3.0 MB)
    • 001 Section Overview_en.vtt (0.9 KB)
    • 002 API Conceptual Guide.mp4 (6.7 MB)
    • 002 API Conceptual Guide_en.vtt (2.7 KB)

Description

Testing and Monitoring Machine Learning Model Deployments



https://DevCourseWeb.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.75 GB | Duration: 8h 19m

ML testing strategies, shadow deployments, production model monitoring and more

What you'll learn
Machine Learning System Unit Testing
Machine Learning System Integration Testing
Machine Learning System Differential Testing
Shadow Deployments (also known as Dark/Decoy launches)
Statistical Techniques for Assessing Shadow Deployments
Monitoring ML System with Metrics (Prometheus & Grafana)
Monitoring ML Systems with Logs (Kibana & the Elastic Stack)
The Theory Around Continuous Delivery for Machine Learning

Requirements
Comfortable with Python
Familiar with Scikit-Learn, Pandas, Numpy
Comfortable with Data Science Fundamentals
Can use Git version control
Basic knowledge of Docker
This is an advanced course
Description
Learn how to test & monitor production machine learning models.



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Udemy - Testing and Monitoring Machine Learning Model Deployments

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Download torrent
2.8 GB
seeders:11
leechers:8
Udemy - Testing and Monitoring Machine Learning Model Deployments

Torrent hash: 72EEF99997B3863C698AB7EE664308AF0B46144D