InterpretML also enables local analysis of individual cases thanks to which we can see how all product features affect the decision of the model. ebm_local = ebm.explain_local X_test[features] X_test[target] show ebm_local In the above case we have a situation where the classifier assigned cluster with certainty but the product itself is actually in cluster i.e. it is for some reason not very popular among buyers. Perhaps this product should be included in the promotion? What's next? The above analyzes and conclusions are only part of the possibilities that lie ahead of us when using machine learning. With a working high performing model we can Build verifiable forecasting models. Build “what if” simulation models.
Implement changes and quickly verify our actions. Detect trends and anomalies. Summary The combination of business analytics and machine learning in particular using XAI techniques is a powerful tool that Taiwan WhatsApp Number List when used properly can bring a huge competitive advantage. It is worth thinking about artificial intelligence not only in terms of the ability to predict the future but also in terms of using its technology in what it is best at i.e. recognizing patterns. We are left with the creative part of the work i.e. drawing conclusions and testing them. FreshMailers Interview with Kamila Kałuża Back to the list of entries Facebook Twitter LinkedIn Google+ Pinterest Buffer Maria Czekańska When you work as an HR Specialist you are the first person a job candidate has to deal with.
Do you think it is a difficult task to represent the company and its values from the very beginning? Kamila Kałuża I would definitely say responsible. I want candidates to feel good and at ease during interviews and I want them to remember us that way. In the later stages I also support and help them. Since I mentioned values I think you focus a lot of your attention on them especially in the context of employer branding.