A brief introduction into machine learning model interpretationThanks to all the wonderful folks at DataScience.com and especially Pramit Choudhary for helping me discover the amazing world of model interpretation.Thanks to Matthew Mayo for editing and featuring this article on KDNuggets.IntroductionThe field of Machine Learning has gone through some phenomenal changes over the last decade. Starting off as just a pure academic and research-oriented domain, we have seen widespread industry adoption across diverse domains including retail, technology, healthcare, science and many more. Rather than just running lab experiments to publish a research paper, the key objective of data science and machine learning in the 21st century has changed to tackling and solving real-world problems, automating complex tasks and making our life easier and better.


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