A Primer on the Most Important Machine Learning Methods

A Primer on the Most Important Machine Learning Methods

This article will provide an introduction to Machine Learning, its scope and three important differentiators to decide, which Machine Learning technique to use for which type of problem.

Machine Learning is already present in our daily lives and an essential part of many products and services we use on a regular basis. Companies use Machine Learning to create new amazing offerings, make their existing products and services better, and solve a broad range of business problems. As companies hurry to use Machine Learning to their advantage, they focus on large parts of their transformational efforts and budget on using these technologies to enable growth.

To successfully apply Machine Learning in a business context, it is key to understand the differences of the approaches, regardless of the professional background or previous experience with Machine Learning. Knowing when to use which method and how to get started, can help to detect and realize growth potential. When dealing with different types of challenges, being able to find the right technique for a specific use case is crucial to success. From classification of pictures or prediction of marketing campaign impact, knowledge about different Machine Learning approaches helps to head in the right direction.

This article will provide an introduction to Machine Learning, its scope and three important differentiators to decide, which Machine Learning technique to use for which type of problem.

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