Deep learning – when should it be used?

Deep Learning vs other approaches

“When should I use deep learning?” I get asked that question constantly. The answer to this question is both complicated and simplistic at the same time. The answer I usually give us something along the lines of ‘if you a lot of data and an interesting / challenging problem, then you should try out deep … Read more

When it comes to big data, think these three words: analyze; contextualize; internalize

change your mindset about big data - analyze, contextualize and internalize

If you don’t know, I’m a bit of a data nerd.  I’ve been writing about big data, data science, machine learning, and other ‘new’ stuff for years.  I believe in data science, and I believe in big data. I’m a fan of machine learning (but think you probably don’t need it) for the majority of … Read more

The Data Way

The Data Way

The world has become a world of data. According to Domo, the majority of the data (roughly 90% of it) that exists today has been created within the last two years. That’s a lot of data. Actually…that’s a LOT of data. And it’s your job to use that data to make better decisions and guide … Read more

Data Analytics – Data Modeling, a Necessary first step

Data Analytics - Data Modeling, a Necessary first step

What do you think of when you hear the term ‘data modeling’? Just typing ‘data modeling’ almost made me go to sleep.  Who am I kidding…I’m a data geek and this stuff is interesting…but some folks aren’t quite as excited by this stuff as I am. Data modeling has many different definitions and connotations.  For … Read more

Data Analytics – The importance of Data Preparation

Data Preparation

How many of you would go sky diving without learning all the necessary precautions and safety measures necessary to keep you alive? How many of you would let your kid drive your car without first teaching them the basics of driving?  While not as life-and-death as the above questions, data preparation is just as important to … Read more