The MBTI is one of the most unsupported but yet the most used tools in the corporate sector.
It is now possible to build Shiny apps that can update themselves on a regular basis, pulling in refreshed data so that people are always looking at the most up to date analysis. So with one up front development sprint, an analyst can reduce their ongoing analytic workload on a particular topic by close to 100%.
The fifth and final part of the series on Machine Learning for beginners.
As data scientists, we are all familiar with what happens when a process, package or application breaks. We dive into it with interest to try to diagnose where the unanticipated error occurred. Did something unexpected occur in the raw data? Did our code not anticipate a particular permutation of inputs?
This is the fourth in a series of articles explaining the principles of networks for those who may use them in a data science context.
In this installment of the series, we review some common measures and considerations when assessing the effectiveness and value of a classification algorithm.
This year, South Korea’s fertility rate is expected to drop below 1.00.
Decision makers in the year 2020 will be facing many more data driven documents and charts than they did 10 or 20 years prior. But are those decision makers any better equipped to make accurate decisions in such a data rich environment?
This is the third in a series of articles explaining the principles of networks for those who may use them in a data science context.
I strongly believe that the field of data science could benefit greatly from a more frequent use of analogies in communication of key concepts.