How Data and Machine Learning Model Choices Impact Deployment Rates
When you’re building a machine learning model, there are a few critical components to consider: calculation power, the algorithm, and the data. Often, a company will focus most of its resources on developing the right, bias-free algorithm and investing in more calculation power. Data is often an after-thought or forgotten entirely until it’s time to run the model. When data …