Data mining is often described as the process of discovering patterns, correlations, and trends within large datasets to generate actionable insights. But in today’s context—where data is abundant and growing exponentially—how do we ensure that the patterns we uncover are truly meaningful and not just noise? With AI and machine learning automating much of the process, what role should human judgment still play in interpreting the results of data mining? Would love to hear how others approach this balance between automation and insight! And are there still people out there who are working as data miners as AI is alreaady here?

Is freelancing really possible in data field? Say Machine learning or AI… the enormous data load..can our laptops take it? If not, how to ?Any ideas are welcome.

Everyone talks about AI. Where and how can I get started with it?

Is there a way to append the excel tabs together is they are in the same format? I do not have any tools. If I have to use any free tool, which one should it be?

Hey guys, I’m currently studying Data Analytics and I’ve finally started writing SQL queries! Any recommendations for structured SQL learning?