Google is going after Quantum Computing to consolidate its supremacy in the tech business. Though small in size, the Quantum Computing (QC) market is rapidly becoming mainstream. Data scientists have been discussing the potential of QC applications for over 30 years now. But, the technology got attention only after Google made its vision clear about the market.Read Full Story
Though it’s hard to keep up with Facebook’s constantly changing algorithm that determines how and why content shows up in users’ feeds, the social media giant remains the go-to platform for multi-location businesses to connect with customers on the local level.
And why not? Facebook’s family of services (Facebook, WhatsApp, Instagram, and Messenger) boasts a whopping 2.
Artificial Intelligence is one of the greatest technologies developed by man. Even though it hasn’t been fully able to replicate the way a human brain works, it is pretty much doing a lot with its existing capabilities.Read Full Story
Even though the Harvard Business Review (HBR) is one of the most respected business publications on the planet, it’s not exempt from the need to continually improve customer engagement and experience. HBR, like every other organization, wants to attract more customers and create strong relationships with them.Read Full Story
Though air quality is always a concern, other than a few hazy days, very few of us have been directly affected by the fires. Homelessness remains a huge problem on a humanitarian level, but the streets do not run with sewage, used needles do not litter the sidewalks and the housed do not cower in fear.Read Full Story
As an “in” professional discipline, Machine Learning exhibits a curious behavior: though talent is frustratingly scarce, it’s immensely easy for the individual to obtain. Why? It’s all available online, (largely) free for the taking.
I did not get a bachelor’s degree in this field. Self-teaching at my kitchen table in 2014, I landed a job as a software developer.
Even though RFM segmentation is well known in retail industry, and basic premise is that by knowing recency, frequency and value of the purchase you can be in good position to start figuring out specific customer in terms of its value, purchasing behavior and its loyalties. However, same logic can be applied for any phenomena that we trying to predict.Read Full Story
Even though it has an ornate name, the underlying concept is actually quite simple and intuitive. The concept of Empirical Risk Minimization becomes relevant in the world of supervised learning. The actual goal of supervised learning is to find a model that solves a problem as opposed to finding a model that best fits the given dataset.Read Full Story