Machine Learning: Choosing a Machine Learning Model

As more companies look to leverage their data using the predictive capabilities of machine learning, they find that there is no one size fits all approach to this exciting technology. The machine learning algorithm you choose depends on the size, quality, and type of data as well as the project timeline and your overall goals. Choosing the proper machine learning algorithm lends context to the insights gained from the resulting predictions. Accuracy: Is the goal of your project to determine the most accurate result or will an approximation satisfy your project needs? Approximating outputs can reduce processing time and keep performance high for large datasets.