Almost half of developers think ML projects take up too much time

Before developers can generate machine learning insights, they need to configure different aspects of complex infrastructure, such as machine resource management, monitoring, and feature extraction, but many think this is too time consuming. New research from Civo finds that of over 500 developers surveyed, 48 percent believe that ML projects take up too much time. Of those surveyed 34 percent personally spend between zero and 10 hours configuring or setting up ML each month, with a further 24 percent spending 11 to 20 hours. But with open source tools, developers can be far more flexible, deploy ML rapidly and gain… [Continue Reading]