Why businesses should Use Machine Learning For Data Analytics

Innovation in machine learning offer many benefits to business data analytics. Businesses are able to benefit from machine learning because the algorithms that are used make accurate, data-informed choices. According to Forbes, by the year 2020, the Internet will have an estimated 1.7 megabytes of newly created data per second for every human in existence. Machine learning gives businesses accurate data at a faster rate than other programs, so businesses that use machine learning will succeed more rapidly than other businesses. Those who want to use machine learning to help their businesses grow should take time to understand the machine learning process and understand the algorithms that will best help their businesses flourish.

What is machine learning?

Machine learning is an algorithm that analyzes data and automatically produces an analytic model. It enables businesses to gain insights because computers are not programmed to look for data at a specific area. As a result, businesses can discover information that was not known due to machine learning to gather information from unspecific locations and recognize useful data patterns and inconsistencies.

Machine learning
Image by @miatawile

Information and machine learning experts use proven algorithms to understand the meaning of the data that is produced from computers. However, the primary goal of machine learning is to leverage businesses to a point where they no longer need information scientists and machine learning experts.

Machine learning Algorithms

Machine learning has been so successful because it is comprised of self-teaching algorithms. When these algorithms are subjected to a massive amount of data, they are able to learn from the information for accurate predictions and results. Machine learning algorithms can be grouped into

  • supervised,
  • unsupervised,
  • and reinforcement learning.

Read more