📮 Learning AI Tools in Tableau by Ann Jackson (.ePUB)

As businesses increasingly rely on data to drive decisions, the role of advanced analytics and AI in enhancing data interpretation is becoming crucial. For professionals tasked with optimizing data analytics platforms like Tableau, staying ahead of the curve with the latest tools isn't just beneficial—it's essential. This insightful guide takes you through the integration of Tableau Pulse and Einstein Copilot, explaining their roles within the broader Tableau and Salesforce ecosystems. Author Ann Jackson, an esteemed analytics professional with a deep expertise in Tableau, offers a step-by-step exploration of these tools, backed by real-world use cases that demonstrate their impact across various industries. Predictive analytics and the ways in which something could be predicted expanded from the simple linear regression model of old to much more robust and sophisticated methods. Classification methods, like k-means clustering (available in Tableau) were possible. Machine Learning (ML), both supervised, where the input and output are provided to the model, and unsupervised, where models are given the freedom to derive their own patterns, came into prominence. A computer could now be given a massive amount of data and draw conclusions with varying levels of aid and decision input from humans.

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