The best executives are those who are able to utilize technology to the fullest extent of its capabilities. One of the best modern uses of technology is through machine learning. Machine learning is the practice of a computer taking in such large quantities of data that it begins to recognize patterns and then can use these patterns to work more efficiently than it did before. That is why the following list of three things all executives should know about machine learning has been assembled. They are, in no particular order, as follows:


  • Feeding It The Proper Data Is Imperative
  • Machines Can Learn From The Right Examples
  • It Will Change The Medical Industry


Feeding It The Proper Data Is Imperative

A machine will only learn based on the data that it is given. If it is given bad data, the outputs will be bad and it may or may not accomplish the desired task. Because of this, gathering the proper data sets to feed the machine is perhaps the single most important part of the process. Whether or not the program itself is capable of learning, bad data will always lead to bad results.


Machines Can Learn From The Right Examples

There are two main ways in which a machine will learn. First, it can take in massive quantities of data and attempt to recognize patterns on it own. This works in cases where companies may not exactly know what its looking for but just wishes to see what the machine comes up with. A second way is to feed the machines examples of what you want it to do. Like a student, after enough practice, the machine can “learn” the task and repeat it an infinite number of times.


It Will Change The Medical Industry

The medical sectors is one ripe for the picking in regards to machine learning utilization. Often times, medical facilities are backlogged with X-rays and other pieces of important medical information. To help combat this, machines can be taught to analyze things like X-rays and alert medical professionals when it’s found something. This way, much more information can be thoroughly studies in a much shorter period of time. This allows more lives to be save with early detection techniques all thanks to machine learning.