A closer look at analytics that matter You’ve trained your AI agent. It runs. It talks. It reacts. But does it actually work? That’s the part where most teams freeze. They launch these sleek autonomous systems, agents meant to handle …
Main challenges Although EDA is often observed as an initial step which should be straightforward, there are some challenges that could slow down and make this process poor and painful. Some of the challenges I have encountered so far are …
Marketing is one of the most fertile fields for Data Science. There are many different techniques and directions which marketing teams are striving to realize, but the two most frequently discussed are – up sell and cross sell. For those …
We live in the era of information technology, when we generate more data in 10 minutes than the amount of total data generated from prehistoric times by the year of 2003. Having the processing power and memory resources to handle …
After participating in a meetup at the end of March, subjected “Data Science – what is it?”, a lot of people contacted me to send them some introductory materials to help them get started with learning. It took me a …
Retail industry. In the glory of Data Science, it’s all about the data and tailor-made targeting. If you want to brag about it, you would say – I’ve got the unique, omni-channel, 360-something, that can perfectly model customer’s behaviour and …
Pedro Domingos is a professor of computer science and engineering at the University of Washington. He is a winner of the SIGKDD Innovation Award, which FYI is the highest honor in Data Science. They say that approximately seven years is …