With the existence of high-scale business computing becoming mainstream with the Internet and the arrival of cloud computing, machine learning is in a position to drive business benefits on a large scale.
When implemented accurately, ML can help you solve large business problems with the potential of adding revenue or reducing dollar spending in a significant way. Just about every organization around is drowning in data ranging from purchases, customer demographics, location data, search data, pricing data, inventory information, and delivery-related data.
Given the humongous volume of data, machine learning can potentially provide a solution for many of the problems that involve the processing of large sets of data on a continual basis. Like, how many donuts Homer Simpson eats in a day or how many times Michael Kelso (“That 70s Show”) makes a fool out of himself! No, those pursuits are not really that important!
To implement machine learning, a business needs:
- A thorough understanding of the machine learning process.
- An understanding of the various types of algorithms available and the types of problems to which they can be applied.
- An understanding of the data flows.
This article originally appeared on techgenix.com. To read the full article, click here.