Discover Xai Course
Welcome to Discover Xai's Online training with live Instructor using an interactive cloud desktop environment DaDesktop.
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What is Xai?
XAI - An eXplainability toolbox for machine learning. XAI is a Machine Learning library that is designed with AI explainability in its core. XAI contains various tools that enable for analysis and evaluation of data and models. The XAI library is maintained by The Institute for Ethical AI & ML, and it was developed based on the 8 principles for Responsible Machine Learning. You can find the documentation at https://ethicalml.github.io/xai/index.html. You can also check out our talk at Tensorflow London where the idea was first conceived - the talk also contains an insight on the definitions and principles in this library.
What do we mean by eXplainable AI?
We see the challenge of explainability as more than just an algorithmic challenge, which requires a combination of data science best practices with domain-specific knowledge. The XAI library is designed to empower machine learning engineers and relevant domain experts to analyse the end-to-end solution and identify discrepancies that may result in sub-optimal performance relative to the objectives required. More broadly, the XAI library is designed using the 3-steps of explainable machine learning, which involve 1) data analysis, 2) model evaluation, and 3) production monitoring.
- Data Analysis
- Model Evaluation
Course Category: Machine Learning
Would you like to learn Xai?
Simply, click the "Book" button of Xai and proceed to the payment method. Enter your desired schedule of training. You will receive an email confirmation for Xai and a representative / trainer will get in touch with you.