Performing Machine Learning (especially at scale) involves substantial coordination and countless technologies. Until very recently, this required setting up custom environments tailored to specific… (more…)

Machine learning projects can be split into two phases: (more…)

“It’s not rocket science” may be a tired cliché, but that doesn’t mean designing rockets is any less complicated. Time, cost and safety prohibit testing the stability of a test rocket using a physical build “trial and error” approach. But even computation... (more…)

An oft-overlooked area of data science is the actual architecture of machine learning systems. This book provides an overview of common design patterns for planning, building, and scaling ML systems. (more…)

Let's see how our machine Learning, project planning and essential coding tools can be brought to life in a real-world project! Today we're going through how we can predict how much energy we use daily using temperature data. We start here with impor... (more…)