Common traps in decision making: There are some common traps that we can fall in while making decisions. The purpose of this post is to introduce those traps and suggest how to avoid themRead more on this free link
Differences in supervised vs unsupervised learning. Gives a short clear summary of how both of the machine learning techniques are applied. Further details about the problem faced in each method are showcased Read more on this free link
The Hidden Traps in Decision Making: Bad decisions can often be traced back to the way the decisions were made–the alternatives were not clearly defined, the right information was not collected, the costs and benefits were not accurately weighed. But sometimes the fault lies not in the decision-making process but rather in the mind of the decision-maker. There are some psychological traps that can affect the way we make business decisions. The best way to avoid all the traps is awareness–forewarned is forearmed . Read more on this free link
The article gives examples of how unsupervised learning can help in decision-making. Each example shows what the current problem is and provides a brief solution through unsupervised learning Read more on this free link
How to solve the false positive riddle? (Similar to the question related to a rare disease asked in the survey) Read more on this free link
Understanding the "Operations Rules": No firm can be both extremely efficient, and thus compete on price, and at the same time highly responsive, and thus provide its customers with a large set of choices in a speedy manner while maintaining an extraordinary service level. These are conflicting objectives, an issue that is discussed in the linkRead more on this free link