This is the Linux app named Interpretable machine learning whose latest release can be downloaded as 1stprintedition.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
Ad
Interpretable machine learning
DESCRIPTION
This book is about interpretable machine learning. Machine learning is being built into many products and processes of our daily lives, yet decisions made by machines don't automatically come with an explanation. An explanation increases the trust in the decision and in the machine learning model. As the programmer of an algorithm you want to know whether you can trust the learned model. Did it learn generalizable features? Or are there some odd artifacts in the training data which the algorithm picked up? This book will give an overview over techniques that can be used to make black boxes as transparent as possible and explain decisions. In the first chapter algorithms that produce simple, interpretable models are introduced together with instructions how to interpret the output. The later chapters focus on analyzing complex models and their decisions. In an ideal future, machines will be able to explain their decisions and make a transition into an algorithmic age more human.
Features
- The book is automatically built from the master branch
- Recommended for machine learning practitioners
- For stakeholders deciding on the use of machine learning and intelligent algorithms
- Designed for data scientists and statisticians
- Export from Leanpub in 7.44" x 9.68" 18.9cm x 24.6cm
- Titles start with #, subtitles with ## and so on
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/interpretable-machine-l.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
