| #2947127 in Books | 2016-02-01 | 2015-11-27 | Original language:English | PDF # 1 | 9.25 x.43 x7.50l,.74 | File type: PDF | 180 pages||1 of 2 people found the following review helpful.| Book Description Inappropriate|By Bill|I have no disagreements whatsoever with the main point of this book--creating a comprehensive suite of tests is a critical step of building quality ML tools. However, when describing this process for various ML models, the tests described by the author are incredibly trivial. If you know nothing about building ML models, then this book c|About the Author||Justin Bozonier |Justin Bozonier is a data scientist living in Chicago. He is currently a Senior Data Scientist at GrubHub. He has led the development of their custom analytics platform and also led the development of their first real ti
About This Book
Build smart extensions to pre-existing features at work that can help maximize their value
Quantify your models to drive real improvement
Take your knowledge of basic concepts, such as linear regression and Naive Bayes classification, to the next level and productionalize their models
Play what-if games with your models and techniques by following the test-driven exploration process
Who This Book Is For...
You can specify the type of files you want, for your device.Test-Driven Machine Learning | Justin Bozonier. A good, fresh read, highly recommended.
