Everyone is now calling themselves a Data Scientist. No matter what position I am hiring for, that term is on over 80% of the resumes I look at. It has actually made me start to ignore the term because it is not a differentiator of talent any more.
Increasingly, there is a desire to cluster observations based on how they change over time. Do they increase, decrease, stay the same? Are they consistently high, consistently low, or do they go up and down? Are some more complex in their changes than others?
The rate at which data is being generated by business and the world at large is rapidly exceeding the speed at which leaders are equipping themselves to work with data.
The more coding I do, the more sensitive I become to inefficiency. Here are ten hacks I use regularly to try to minimize distractions and keep up my production pace.
My genealogical research on my great-great-grandfather revealed a tragically sad story.
I was interested in finding out what it was about someone during that short interaction that determined whether or not someone viewed them as a match. This is a great opportunity to practice simple logistic regression if you’ve never done it before.
Community detection can help identify a structure in a set of interactions, which has applications to organizational design, but can also be useful in other fields such as digital communications and crime investigation
Failure to follow these words can put patients’ well-being at greater risk, and can open individuals up to ethical and legal challenges about their decision-making. The three words are evidence based practice.
I am convinced that in the 21st century talent management will be the key differentiator of successful organizations. Within a couple of decades, no matter what measure you use, those with the most advanced approach to the recruiting, development and retention of talent will outperform those who lag behind.