Breaking the Tyranny of Chalk Brackets in March Madness

March Madness is all about bold picks—except the safest way to win is playing it safe. Is that fair game or missing the point? Let’s break it down.

From Liberal Arts to Data Science: What to Expect on Your Journey

Data Scientist Henry Mead shares a practical guide on what it takes to land a job as a data scientist coming from the humanities.

Advent of Code: A Holiday Treat for Data Professionals

Take a break from the usual routine and join thousands of data professionals for Advent of Code. Whether you’re in it to sharpen your skills, connect with others, or just enjoy a daily puzzle, it’s an experience that’s as rewarding as it is fun.

Balancing AI Power with Human Insight: A Humorous Dive into Text Analytics

How to Excel in the Growing Field of Data Science

A Data Science Approach to Tallying Teslas on the Road

Is My Data Lake Actually a Data Swamp?

How Good Am I at Ping Pong?

Previewing the MYOB Podcast

The Customer is Always Wrong – Along with the Rest of Us

So, I could title this “We Are Almost Always Wrong”. Why am I highlighting the other party? Because over-fealty to the customer’s guidance can prevent us from discoveries even more valuable to them. The customer may know their pain well, but not the diagnosis or treatment. We must “trust but verify” as we discover how best to help them.

Cross the Finish Line with Keras Sequential (Neural Network) Modeling

Success With Analytics Starts With Data Literacy

The field of data analytics is dynamic with rapidly evolving innovations. To realize the potential of an enterprise-wide analytics program, leaders and managers at all levels need strong data literacy. Providing opportunities for continuous learning and sharpening of skills is necessary for a robust analytics enterprise able to reliably deliver measurable value to the organization.

Making Good Use of Negative Space in Machine Learning

Be Smarter Than Your Devices: Learn About Big Data

Why Machine Learning Is the Coolest Science

The Persuasion Paradox – How Computers Optimize their Influence on You

Healthcare Analytics: Exploration vs. Confirmation

Data is Not Oil. It is Land.

Tiger vs. Jack – Asking the Right Questions

A Deep Dive into Deep Learning