Explainable Artificial Intelligence (Part 3)A comprehensive guide to interpreting machine learning modelsIntroductionInterpreting Machine Learning models is no longer a luxury but a necessity given the rapid adoption of AI in the industry. This article in a continuation in my series of articles aimed at 'Explainable Artificial Intelligence (XAI)'. The idea here is to cut through the hype and enable you with the tools and techniques needed to start interpreting any black box machine learning model. Following are the previous articles in the series in case you want to give them a quick skim (but are not mandatory for this article).Part 1 — The Importance of Human Interpretable Machine Learning': which covers the what and why of human interpretable machine learning and the need and importance of model interpretation along with its scope and criteriaPart 2 —Model Interpretation Strategies' which covers the how of human interpretable machine learning where we look at essential concepts pertaining to major strategies for model interpretation.
I guess you came to this post by searching similar kind of issues in any of the search engine and hope that this resolved your problem. If you find this tips useful, just drop a line below and share the link to others and who knows they might find it useful too.
Stay tuned to my blog, twitter or facebook to read more articles, tutorials, news, tips & tricks on various technology fields. Also Subscribe to our Newsletter with your Email ID to keep you updated on latest posts. We will send newsletter to your registered email address. We will not share your email address to anybody as we respect privacy.
towards-data-science,technology,data-science,artificial-intelligence,machine-learning
Stay tuned to my blog, twitter or facebook to read more articles, tutorials, news, tips & tricks on various technology fields. Also Subscribe to our Newsletter with your Email ID to keep you updated on latest posts. We will send newsletter to your registered email address. We will not share your email address to anybody as we respect privacy.
This article is related to
towards-data-science,technology,data-science,artificial-intelligence,machine-learning
0 Comments