Technology returns healthcare back to the general public

This article by Dr. Joon Yun, advocates and expresses the inevitability of Healthcare information, empowered the internet offering unparalleled access to current medicinal knowledge, along with rating services of providers, and crowdfunding investment opportunities, brings medicine back to the interests of consumers.

While the internet cannot be relied on to tell people everything, the base increase to general awareness should not be underestimated.

FREE solutions (with a little self inspiration)

In current times how-to videos proliferate the internet. Below are a few quick ways to save a bit of cash by taking the time to DIY, or “do it yourself”.

Google “DIY” and click on videos. Youtube is a very popular hub.

Categories of DIY:
o    Fix
o    Craft/Build
o    Carpentry – though be careful and leave big projects to the experts

What to NOT DIY
o    Do NOT fix your motorcycle, a mistake could cause critical failure
o    Do NOT treat medicinal remedies as a foregone solution, if problems continue, consult a doctor
o    With crafts, it may be cheaper to actually buy certain components online, many places offer wholesale discounts.

Other free online searches (that do not require the label DIY)
o    Food – if your favorite food is expensive and served at a deli, it can also likely be made in mass and constructed from many free recipes
o    Learning

Data Science Gone Wrong

Bad Maps

Cartastophe is a website dedicated to studying poorly created maps provides a wide berth of map imagery and in depth commentary that range from criticizing bad map design principles.

Mistakes made by the infamous quants

It turns out common mistakes made by financial quants mirror common mistakes made in data science in general. This article references tendencies towards overfitting, training the model on training data versus test data, and consequences of overly complex models.

Dangers of cumulative consequences

Because data science is perceived as a nascent profession, it is currently funded and supported as a viable new mode of problem solving. However, with an abundance of mistakes and limited awareness, there is a risk that the profession, with many of the pitfalls and limitations similar to the field of statistics, will become once again marginalized and misunderstood.