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Test-Driven Machine Learning
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Index
Thisbookisintendedfordatatechnologists(scientists,analysts,ordevelopers)withpreviousmachinelearningexperiencewhoarealsocomfortablereadingcodeinPython.Youmaybestarting,orhavealreadystarted,amachinelearningprojectatworkandarelookingforawaytodeliverresultsquicklytoenablerapiditerationandimprovement.Thoselookingforexamplesofhowtoisolateissuesinmodelsandimprovethemwillfindideasinthisbooktomoveforward.
目錄(71章)
倒序
- 封面
- 版權(quán)頁
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Support files eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Introducing Test-Driven Machine Learning
- Test-driven development
- The TDD cycle
- Behavior-driven development
- Our first test
- TDD applied to machine learning
- Dealing with randomness
- Different approaches to validating the improved models
- Quantifying the classification models
- Summary
- Chapter 2. Perceptively Testing a Perceptron
- Getting started
- Summary
- Chapter 3. Exploring the Unknown with Multi-armed Bandits
- Understanding a bandit
- Testing with simulation
- Starting from scratch
- Simulating real world situations
- A randomized probability matching algorithm
- A bootstrapping bandit
- The problem with straight bootstrapping
- Multi-armed armed bandit throw down
- Summary
- Chapter 4. Predicting Values with Regression
- Refresher on advanced regression
- Generating our own data
- Building the foundations of our model
- Cross-validating our model
- Generating data
- Summary
- Chapter 5. Making Decisions Black and White with Logistic Regression
- Generating logistic data
- Measuring model accuracy
- Generating a more complex example
- Test driving our model
- Summary
- Chapter 6. You're So Na?ve Bayes
- Gaussian classification by hand
- Beginning the development
- Summary
- Chapter 7. Optimizing by Choosing a New Algorithm
- Upgrading the classifier
- Applying our classifier
- Upgrading to Random Forest
- Summary
- Chapter 8. Exploring scikit-learn Test First
- Test-driven design
- Planning our journey
- Getting choosey
- Developing testable documentation
- Summary
- Chapter 9. Bringing It All Together
- Starting at the highest level
- The real world
- What we've accomplished
- Summary
- Index 更新時(shí)間：2021-07-30 10:20:13
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