Developer · Lifetime deal
Test Driven Machine Learning
Machine learning is the process of teaching machines to remember data patterns, use them to predict future outcomes, and offer choices that would appeal to individuals based on past preferences.
Which Test Driven Machine Learning plan do you need?
Prices in USD, excluding tax.
| Driven Machine | |
|---|---|
| Includes | Lifetime Access; Certification Included; Web Streaming; Mobile Streaming; For Intermediate |
What is Test Driven Machine Learning?
Description:
Machine learning is the process of teaching machines to remember data patterns, use them to predict future outcomes, and offer choices that would appeal to individuals based on past preferences. Learning to build machine learning alogirthms within a controlled test framework will speed up your time to deliver, quantify quality expectations, and enabled rapid iteration and collaboration. This book will show you how to quantifiably test machine learning algorithms.
- Get started w/ an introduction to test-driven development & familiarize yourself with how to apply these concepts to machine learning - Build & test a neural network deterministically, and learn to look for niche cases that cause odd model behavior - Learn to use the multi-armed bandit algorithm to make optimal choices - Generate complex & simple random data to create a wide variety of test cases - Develop models iteratively, even when using a third-party library - Quantify model quality to enable collaboration & rapid iteration - Adopt simpler approaches to common machine learning algorithms - Take behavior-driven development principles to articulate test intent
Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.
Video review
We have not reviewed Test Driven Machine Learning on video yet.
Get notifiedBuyer reviews
No reviews yet. Bought Test Driven Machine Learning? Add it to your workspace and share what it replaced.
Add to your workspaceTest Driven Machine Learning questions
Is this Test Driven Machine Learning deal still available?
No. This StackSocial deal is archived. The course/book content may still exist on StackSkills (the StackSocial learning platform), but the deal pricing of $10 is no longer active.
What is Test Driven Machine Learning?
It is a course and book-based resource that teaches how to apply test-driven development (TDD) principles to machine learning workflows. The goal is to write tests that quantifiably verify the behavior and quality of ML models, enabling faster iteration and clearer quality expectations.
Who is this course for?
Developers or data scientists with some programming experience who want to bring software engineering discipline to their ML work. It is not an intro-to-ML course — it assumes familiarity with basic concepts and focuses on testing methodology.
What topics does the course cover?
Core topics include an introduction to test-driven development applied to ML, building and testing neural networks deterministically, identifying edge cases in model behavior, using the multi-armed bandit algorithm, generating test data, and adopting behavior-driven development (BDD) principles for ML.
Is the underlying book still available?
The course is based on content related to testing ML systems. Similar foundational material may be available through O'Reilly or StackSkills, though specific availability varies.
What should I learn instead if I missed this deal?
Udemy and Coursera both offer current machine learning and MLOps courses. For TDD specifically in Python ML contexts, look for courses covering pytest with scikit-learn or PyTorch testing patterns.
Often compared with
These are other tools in the same space, not deals on GrabLTD.
- Udemy
- Coursera
- DataCamp
- Pluralsight
- O'Reilly Learning


