Explainable Artificial Intelligence (XAI) refers to a set of methods and techniques that allow machine learning models to produce results that humans can easily understand and trust. It plays an important role in the fairness, accountability, and transparency (FAT) framework and is often associated with complex systems like deep learning. Organizations use XAI to build
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In today’s digital era, organizations generate massive amounts of data every day. From customer transactions and website analytics to operational records and business reports, data has become one of the most valuable assets for companies. However, raw data alone is not enough. Businesses need efficient tools to analyze, organize, and visualize information in a meaningful
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The video talks about how important it is for data scientists to have certain skills in order to do their job well. These skills are called “core skills” and “tool skills.” The video also mentions three specific core skills that are really important for data scientists to be successful: business understanding, analytical skills, and communication
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