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In this video, I analyzed the correlation between the health of the U.S. economy prior to presidential elections and the election ...

The three most common types of AI in use today are machine Learning or Predictive Analytics, Natural Language Processing and ...

The key difference between a data analyst vs a data scientist explained in a few seconds!

Traditional electricity meters only provide total energy consumption at the end of the billing cycle, leaving users unaware of their ...

Can we use correlations to predict the next US presidential election winner?

... learning models which are able to forge predictive algorithms based on analyzing large data sets and ideally forecasting Market ...

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Having inventory forecasting down to the SKU level is crucial to prevent overstock, understock, and, more importantly, preventing ...

Explaining premarketml.com and alphainsight.live two websites I created to generate unbiased market intelligence for a low price.

What if machines could call in sick just like humans? Welcome to “When Machines Take Sick Leave” – a fun yet insightful look ...

AI is a magic bullet.” – Nope. AI informs your decisions, but human insight still wins deals. “Predictive AI is too complicated.

These are the 3 types of analytics explained with practical examples...

Day 1 at Gartner — It was so good to meet Julian Forero and discuss about AI at Snowflake, Enterprise AI, the Next Wave of AI ...

Torn between a master's in Data Science and Business Analytics? We've got you covered! Discover crucial differences, from ...

Speed to insight wins. If analytics cannot move decisions, it gets ignored. Fresh off Big Data London, I sat down with Clarence ...