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.
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.
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.
|November 3, 2021 (Wednesday)||09:30 AM - 04:30 PM|
|November 17, 2021 (Wednesday)||09:30 AM - 04:30 PM|
|December 1, 2021 (Wednesday)||09:30 AM - 04:30 PM|
|December 15, 2021 (Wednesday)||09:30 AM - 04:30 PM|
|December 29, 2021 (Wednesday)||09:30 AM - 04:30 PM|
|January 12, 2022 (Wednesday)||09:30 AM - 04:30 PM|
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