At the Heart of Data Science
Every 24 hours, your heart beats approximately 100,000 times. No matter whether it was a day of triumph or defeat, discovery or pursuit, love or loss, you can count on relatively 100,000 reminders that you [...]
Every 24 hours, your heart beats approximately 100,000 times. No matter whether it was a day of triumph or defeat, discovery or pursuit, love or loss, you can count on relatively 100,000 reminders that you [...]
It’s time for us to push the envelope as a data science community. We’ve proven our ability to find the most obscure of facts (e.g., humans share 50% of their DNA with bananas). We’ve uncovered [...]
Simulation Modeling is a structured approach to discovering key variable relationships within a system. Systems take on many forms across sectors, from agriculture to aerospace and defense to zoology. These systems are generally finite and [...]
Booz Allen Hamilton’s first annual Data Science Bowl attracted more than a thousand teams worldwide to compete in developing the best computer-based visual recognition system. The competition was hosted on a Kaggle platform for the [...]
With the next Data Science Bowl just around the corner, I set out to prepare myself for the competition. The truth: I’m not a coder. I have an interest in data science. I appreciate the [...]
Most of us love a good chocolate brownie. The existence of chocolate is not the only reason. We also love a good brownie because of its texture, convenient serving size, the presence of nuts (or [...]
One of the questions I often get from people after giving a talk is “How do I get started with deep neural nets?” Building new deep neural nets is a three-part process: learn the theoretical [...]
Data science is often regarded as an elite field. It draws experts with advanced degrees in math and science, fluency in multiple programming languages, and a firm grasp of statistics and probability theory. To reach [...]
Data Science is powerful. By combining the fields of statistics and computer science it allows us to analyze and understand data and make that data understandable to others. This means Data Scientists can direct the [...]